Add FFT checkpoint epoch 7
Browse files- chat_template.jinja +87 -0
- config.json +28 -0
- generation_config.json +9 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- optimizer.pt +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
- trainer_state.json +1063 -0
- training_args.bin +3 -0
chat_template.jinja
ADDED
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{%- if messages[0]["role"] == "system" %}
|
2 |
+
{%- set system_message = messages[0]["content"] %}
|
3 |
+
{%- set loop_messages = messages[1:] %}
|
4 |
+
{%- else %}
|
5 |
+
{%- set loop_messages = messages %}
|
6 |
+
{%- endif %}
|
7 |
+
{%- if not tools is defined %}
|
8 |
+
{%- set tools = none %}
|
9 |
+
{%- endif %}
|
10 |
+
{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
|
11 |
+
|
12 |
+
{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
|
13 |
+
{%- set ns = namespace() %}
|
14 |
+
{%- set ns.index = 0 %}
|
15 |
+
{%- for message in loop_messages %}
|
16 |
+
{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
|
17 |
+
{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
|
18 |
+
{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
|
19 |
+
{%- endif %}
|
20 |
+
{%- set ns.index = ns.index + 1 %}
|
21 |
+
{%- endif %}
|
22 |
+
{%- endfor %}
|
23 |
+
|
24 |
+
{{- bos_token }}
|
25 |
+
{%- for message in loop_messages %}
|
26 |
+
{%- if message["role"] == "user" %}
|
27 |
+
{%- if tools is not none and (message == user_messages[-1]) %}
|
28 |
+
{{- "[AVAILABLE_TOOLS] [" }}
|
29 |
+
{%- for tool in tools %}
|
30 |
+
{%- set tool = tool.function %}
|
31 |
+
{{- '{"type": "function", "function": {' }}
|
32 |
+
{%- for key, val in tool.items() if key != "return" %}
|
33 |
+
{%- if val is string %}
|
34 |
+
{{- '"' + key + '": "' + val + '"' }}
|
35 |
+
{%- else %}
|
36 |
+
{{- '"' + key + '": ' + val|tojson }}
|
37 |
+
{%- endif %}
|
38 |
+
{%- if not loop.last %}
|
39 |
+
{{- ", " }}
|
40 |
+
{%- endif %}
|
41 |
+
{%- endfor %}
|
42 |
+
{{- "}}" }}
|
43 |
+
{%- if not loop.last %}
|
44 |
+
{{- ", " }}
|
45 |
+
{%- else %}
|
46 |
+
{{- "]" }}
|
47 |
+
{%- endif %}
|
48 |
+
{%- endfor %}
|
49 |
+
{{- "[/AVAILABLE_TOOLS]" }}
|
50 |
+
{%- endif %}
|
51 |
+
{%- if loop.last and system_message is defined %}
|
52 |
+
{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
|
53 |
+
{%- else %}
|
54 |
+
{{- "[INST] " + message["content"] + "[/INST]" }}
|
55 |
+
{%- endif %}
|
56 |
+
{%- elif message.tool_calls is defined and message.tool_calls is not none %}
|
57 |
+
{{- "[TOOL_CALLS] [" }}
|
58 |
+
{%- for tool_call in message.tool_calls %}
|
59 |
+
{%- set out = tool_call.function|tojson %}
|
60 |
+
{{- out[:-1] }}
|
61 |
+
{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
|
62 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
63 |
+
{%- endif %}
|
64 |
+
{{- ', "id": "' + tool_call.id + '"}' }}
|
65 |
+
{%- if not loop.last %}
|
66 |
+
{{- ", " }}
|
67 |
+
{%- else %}
|
68 |
+
{{- "]" + eos_token }}
|
69 |
+
{%- endif %}
|
70 |
+
{%- endfor %}
|
71 |
+
{%- elif message["role"] == "assistant" %}
|
72 |
+
{{- " " + message["content"]|trim + eos_token}}
|
73 |
+
{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
|
74 |
+
{%- if message.content is defined and message.content.content is defined %}
|
75 |
+
{%- set content = message.content.content %}
|
76 |
+
{%- else %}
|
77 |
+
{%- set content = message.content %}
|
78 |
+
{%- endif %}
|
79 |
+
{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
|
80 |
+
{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
|
81 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
82 |
+
{%- endif %}
|
83 |
+
{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
|
84 |
+
{%- else %}
|
85 |
+
{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
|
86 |
+
{%- endif %}
|
87 |
+
{%- endfor %}
|
config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"MistralForCausalLM"
|
4 |
+
],
|
5 |
+
"attention_dropout": 0.0,
|
6 |
+
"bos_token_id": 1,
|
7 |
+
"eos_token_id": 2,
|
8 |
+
"head_dim": 128,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 14336,
|
13 |
+
"max_position_embeddings": 32768,
|
14 |
+
"model_type": "mistral",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 8,
|
18 |
+
"pad_token_id": 770,
|
19 |
+
"rms_norm_eps": 1e-05,
|
20 |
+
"rope_theta": 1000000.0,
|
21 |
+
"sliding_window": null,
|
22 |
+
"tie_word_embeddings": false,
|
23 |
+
"torch_dtype": "bfloat16",
|
24 |
+
"transformers_version": "4.52.3",
|
25 |
+
"unsloth_version": "2024.9",
|
26 |
+
"use_cache": false,
|
27 |
+
"vocab_size": 32768
|
28 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"do_sample": true,
|
5 |
+
"eos_token_id": 2,
|
6 |
+
"max_length": 32768,
|
7 |
+
"pad_token_id": 770,
|
8 |
+
"transformers_version": "4.52.3"
|
9 |
+
}
|
model-00001-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:89f403a2972acc00000c81c5de49376c7b9af1e0290cba1f6c9ebd584d9c2076
|
3 |
+
size 4949453792
|
model-00002-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c2c9b54da444979c87aa04373bebd81446c680ab6c4d20dc684971ce80827ab7
|
3 |
+
size 4999819336
|
model-00003-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9db01d7004473c62149e1254c5345fcdf6b3797d6d05780d3583b18e980ee760
|
3 |
+
size 4546807800
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 14496047104
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00003-of-00003.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00003.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
296 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
297 |
+
}
|
298 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:854a42033a96518b7593d3d60e66b5042d3174d43bba2f403536d54198b13e48
|
3 |
+
size 15524012362
|
rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be6a8d4b38dfc32a89bb75eb545a7dab39a5b77267c6d547a394dab6c632a408
|
3 |
+
size 15024
|
rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fa4f1a4e798e028ccce997ccd582ba72d505aba0d00e2c21349da45ce511df6c
|
3 |
+
size 15024
|
rng_state_2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ba729b0aa4b6afe15f697e1e9c86af0eaacfdd648dad1144dc90e223b8741064
|
3 |
+
size 15024
|
rng_state_3.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:86b65cb5c4d19a6c0283c52c0d56e0fbe20fdfa45e8749550ae85aa7351decaa
|
3 |
+
size 15024
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9472db522b9d13ccd3b8226b4a1da529ec38b055b88c703771ee4402de87915e
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "[control_768]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
3 |
+
size 587404
|
tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
trainer_state.json
ADDED
@@ -0,0 +1,1063 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 7.0,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 147,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.04819277108433735,
|
14 |
+
"grad_norm": 21.375,
|
15 |
+
"learning_rate": 0.0,
|
16 |
+
"loss": 8.8219,
|
17 |
+
"step": 1
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.0963855421686747,
|
21 |
+
"grad_norm": 23.75,
|
22 |
+
"learning_rate": 5e-06,
|
23 |
+
"loss": 8.3499,
|
24 |
+
"step": 2
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.14457831325301204,
|
28 |
+
"grad_norm": 3.84375,
|
29 |
+
"learning_rate": 1e-05,
|
30 |
+
"loss": 8.5385,
|
31 |
+
"step": 3
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.1927710843373494,
|
35 |
+
"grad_norm": 3.921875,
|
36 |
+
"learning_rate": 1.5e-05,
|
37 |
+
"loss": 8.917,
|
38 |
+
"step": 4
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.24096385542168675,
|
42 |
+
"grad_norm": 18.125,
|
43 |
+
"learning_rate": 2e-05,
|
44 |
+
"loss": 8.6019,
|
45 |
+
"step": 5
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.2891566265060241,
|
49 |
+
"grad_norm": 42.25,
|
50 |
+
"learning_rate": 2.5e-05,
|
51 |
+
"loss": 8.1326,
|
52 |
+
"step": 6
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.3373493975903614,
|
56 |
+
"grad_norm": 23.375,
|
57 |
+
"learning_rate": 3e-05,
|
58 |
+
"loss": 8.5672,
|
59 |
+
"step": 7
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.3855421686746988,
|
63 |
+
"grad_norm": 54.0,
|
64 |
+
"learning_rate": 3.5e-05,
|
65 |
+
"loss": 8.5995,
|
66 |
+
"step": 8
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.43373493975903615,
|
70 |
+
"grad_norm": 39.0,
|
71 |
+
"learning_rate": 4e-05,
|
72 |
+
"loss": 8.2674,
|
73 |
+
"step": 9
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.4819277108433735,
|
77 |
+
"grad_norm": 4.59375,
|
78 |
+
"learning_rate": 4.5e-05,
|
79 |
+
"loss": 8.478,
|
80 |
+
"step": 10
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.5301204819277109,
|
84 |
+
"grad_norm": 14.4375,
|
85 |
+
"learning_rate": 5e-05,
|
86 |
+
"loss": 8.5228,
|
87 |
+
"step": 11
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.5783132530120482,
|
91 |
+
"grad_norm": 20.5,
|
92 |
+
"learning_rate": 5.500000000000001e-05,
|
93 |
+
"loss": 8.626,
|
94 |
+
"step": 12
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.6265060240963856,
|
98 |
+
"grad_norm": 18.25,
|
99 |
+
"learning_rate": 6e-05,
|
100 |
+
"loss": 8.3092,
|
101 |
+
"step": 13
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.6746987951807228,
|
105 |
+
"grad_norm": 82.5,
|
106 |
+
"learning_rate": 6.500000000000001e-05,
|
107 |
+
"loss": 9.1598,
|
108 |
+
"step": 14
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.7228915662650602,
|
112 |
+
"grad_norm": 30.875,
|
113 |
+
"learning_rate": 7e-05,
|
114 |
+
"loss": 8.7052,
|
115 |
+
"step": 15
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.7710843373493976,
|
119 |
+
"grad_norm": 17.75,
|
120 |
+
"learning_rate": 7.500000000000001e-05,
|
121 |
+
"loss": 8.3344,
|
122 |
+
"step": 16
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.8192771084337349,
|
126 |
+
"grad_norm": 72.5,
|
127 |
+
"learning_rate": 8e-05,
|
128 |
+
"loss": 8.2508,
|
129 |
+
"step": 17
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.8674698795180723,
|
133 |
+
"grad_norm": 6.59375,
|
134 |
+
"learning_rate": 8.5e-05,
|
135 |
+
"loss": 8.1669,
|
136 |
+
"step": 18
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.9156626506024096,
|
140 |
+
"grad_norm": 16.125,
|
141 |
+
"learning_rate": 9e-05,
|
142 |
+
"loss": 8.5961,
|
143 |
+
"step": 19
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.963855421686747,
|
147 |
+
"grad_norm": 19.125,
|
148 |
+
"learning_rate": 9.5e-05,
|
149 |
+
"loss": 8.1445,
|
150 |
+
"step": 20
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1.0,
|
154 |
+
"grad_norm": 6.96875,
|
155 |
+
"learning_rate": 0.0001,
|
156 |
+
"loss": 8.7202,
|
157 |
+
"step": 21
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 1.0481927710843373,
|
161 |
+
"grad_norm": 11.9375,
|
162 |
+
"learning_rate": 9.999664033241933e-05,
|
163 |
+
"loss": 8.6632,
|
164 |
+
"step": 22
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 1.0963855421686748,
|
168 |
+
"grad_norm": 17.75,
|
169 |
+
"learning_rate": 9.998656178117193e-05,
|
170 |
+
"loss": 8.1439,
|
171 |
+
"step": 23
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 1.144578313253012,
|
175 |
+
"grad_norm": 40.75,
|
176 |
+
"learning_rate": 9.99697657006811e-05,
|
177 |
+
"loss": 8.3403,
|
178 |
+
"step": 24
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 1.1927710843373494,
|
182 |
+
"grad_norm": 6.3125,
|
183 |
+
"learning_rate": 9.994625434811671e-05,
|
184 |
+
"loss": 8.528,
|
185 |
+
"step": 25
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.2409638554216866,
|
189 |
+
"grad_norm": 35.5,
|
190 |
+
"learning_rate": 9.991603088309194e-05,
|
191 |
+
"loss": 8.3088,
|
192 |
+
"step": 26
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 1.2891566265060241,
|
196 |
+
"grad_norm": 16.875,
|
197 |
+
"learning_rate": 9.987909936723858e-05,
|
198 |
+
"loss": 8.4892,
|
199 |
+
"step": 27
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 1.3373493975903614,
|
203 |
+
"grad_norm": 6.25,
|
204 |
+
"learning_rate": 9.983546476366132e-05,
|
205 |
+
"loss": 8.7603,
|
206 |
+
"step": 28
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.3855421686746987,
|
210 |
+
"grad_norm": 7.75,
|
211 |
+
"learning_rate": 9.978513293627067e-05,
|
212 |
+
"loss": 7.9509,
|
213 |
+
"step": 29
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 1.4337349397590362,
|
217 |
+
"grad_norm": 11.3125,
|
218 |
+
"learning_rate": 9.9728110648995e-05,
|
219 |
+
"loss": 7.9856,
|
220 |
+
"step": 30
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 1.4819277108433735,
|
224 |
+
"grad_norm": 18.75,
|
225 |
+
"learning_rate": 9.96644055648715e-05,
|
226 |
+
"loss": 8.5658,
|
227 |
+
"step": 31
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 1.5301204819277108,
|
231 |
+
"grad_norm": 82.0,
|
232 |
+
"learning_rate": 9.959402624501636e-05,
|
233 |
+
"loss": 9.3586,
|
234 |
+
"step": 32
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.5783132530120483,
|
238 |
+
"grad_norm": 16.5,
|
239 |
+
"learning_rate": 9.95169821474744e-05,
|
240 |
+
"loss": 8.5405,
|
241 |
+
"step": 33
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 1.6265060240963856,
|
245 |
+
"grad_norm": 42.25,
|
246 |
+
"learning_rate": 9.943328362594788e-05,
|
247 |
+
"loss": 8.5593,
|
248 |
+
"step": 34
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.6746987951807228,
|
252 |
+
"grad_norm": 7.90625,
|
253 |
+
"learning_rate": 9.934294192840516e-05,
|
254 |
+
"loss": 8.1437,
|
255 |
+
"step": 35
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 1.7228915662650603,
|
259 |
+
"grad_norm": 10.125,
|
260 |
+
"learning_rate": 9.924596919556917e-05,
|
261 |
+
"loss": 8.3373,
|
262 |
+
"step": 36
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 1.7710843373493976,
|
266 |
+
"grad_norm": 3.34375,
|
267 |
+
"learning_rate": 9.914237845928573e-05,
|
268 |
+
"loss": 8.3734,
|
269 |
+
"step": 37
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.819277108433735,
|
273 |
+
"grad_norm": 3.96875,
|
274 |
+
"learning_rate": 9.903218364077243e-05,
|
275 |
+
"loss": 8.5859,
|
276 |
+
"step": 38
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 1.8674698795180724,
|
280 |
+
"grad_norm": 3.640625,
|
281 |
+
"learning_rate": 9.891539954874757e-05,
|
282 |
+
"loss": 8.4436,
|
283 |
+
"step": 39
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 1.9156626506024095,
|
287 |
+
"grad_norm": 43.75,
|
288 |
+
"learning_rate": 9.879204187744036e-05,
|
289 |
+
"loss": 8.4789,
|
290 |
+
"step": 40
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 1.963855421686747,
|
294 |
+
"grad_norm": 21.375,
|
295 |
+
"learning_rate": 9.866212720448148e-05,
|
296 |
+
"loss": 8.1899,
|
297 |
+
"step": 41
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 2.0,
|
301 |
+
"grad_norm": 2.453125,
|
302 |
+
"learning_rate": 9.852567298867557e-05,
|
303 |
+
"loss": 8.7482,
|
304 |
+
"step": 42
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 2.0481927710843375,
|
308 |
+
"grad_norm": 5.96875,
|
309 |
+
"learning_rate": 9.838269756765484e-05,
|
310 |
+
"loss": 8.2939,
|
311 |
+
"step": 43
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 2.0963855421686746,
|
315 |
+
"grad_norm": 2.171875,
|
316 |
+
"learning_rate": 9.823322015541474e-05,
|
317 |
+
"loss": 8.429,
|
318 |
+
"step": 44
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 2.144578313253012,
|
322 |
+
"grad_norm": 2.8125,
|
323 |
+
"learning_rate": 9.807726083973192e-05,
|
324 |
+
"loss": 8.3389,
|
325 |
+
"step": 45
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 2.1927710843373496,
|
329 |
+
"grad_norm": 4.21875,
|
330 |
+
"learning_rate": 9.791484057946465e-05,
|
331 |
+
"loss": 7.7685,
|
332 |
+
"step": 46
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 2.2409638554216866,
|
336 |
+
"grad_norm": 1.6953125,
|
337 |
+
"learning_rate": 9.774598120173624e-05,
|
338 |
+
"loss": 8.1287,
|
339 |
+
"step": 47
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 2.289156626506024,
|
343 |
+
"grad_norm": 2.875,
|
344 |
+
"learning_rate": 9.75707053990018e-05,
|
345 |
+
"loss": 8.1238,
|
346 |
+
"step": 48
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 2.337349397590361,
|
350 |
+
"grad_norm": 1.3125,
|
351 |
+
"learning_rate": 9.738903672599857e-05,
|
352 |
+
"loss": 8.1123,
|
353 |
+
"step": 49
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 2.3855421686746987,
|
357 |
+
"grad_norm": 1.3984375,
|
358 |
+
"learning_rate": 9.720099959658062e-05,
|
359 |
+
"loss": 8.2993,
|
360 |
+
"step": 50
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 2.433734939759036,
|
364 |
+
"grad_norm": 2.78125,
|
365 |
+
"learning_rate": 9.700661928043786e-05,
|
366 |
+
"loss": 8.0,
|
367 |
+
"step": 51
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 2.4819277108433733,
|
371 |
+
"grad_norm": 1.6484375,
|
372 |
+
"learning_rate": 9.680592189970015e-05,
|
373 |
+
"loss": 8.3916,
|
374 |
+
"step": 52
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 2.5301204819277108,
|
378 |
+
"grad_norm": 41.25,
|
379 |
+
"learning_rate": 9.659893442542682e-05,
|
380 |
+
"loss": 8.0818,
|
381 |
+
"step": 53
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 2.5783132530120483,
|
385 |
+
"grad_norm": 4.0,
|
386 |
+
"learning_rate": 9.638568467398215e-05,
|
387 |
+
"loss": 8.276,
|
388 |
+
"step": 54
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 2.6265060240963853,
|
392 |
+
"grad_norm": 1.2421875,
|
393 |
+
"learning_rate": 9.61662013032972e-05,
|
394 |
+
"loss": 8.6371,
|
395 |
+
"step": 55
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 2.674698795180723,
|
399 |
+
"grad_norm": 2.265625,
|
400 |
+
"learning_rate": 9.594051380901859e-05,
|
401 |
+
"loss": 8.2015,
|
402 |
+
"step": 56
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 2.7228915662650603,
|
406 |
+
"grad_norm": 1.5859375,
|
407 |
+
"learning_rate": 9.570865252054461e-05,
|
408 |
+
"loss": 8.1813,
|
409 |
+
"step": 57
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 2.7710843373493974,
|
413 |
+
"grad_norm": 1.15625,
|
414 |
+
"learning_rate": 9.547064859694943e-05,
|
415 |
+
"loss": 7.9804,
|
416 |
+
"step": 58
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 2.819277108433735,
|
420 |
+
"grad_norm": 1.0625,
|
421 |
+
"learning_rate": 9.52265340227957e-05,
|
422 |
+
"loss": 8.4279,
|
423 |
+
"step": 59
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 2.8674698795180724,
|
427 |
+
"grad_norm": 1.34375,
|
428 |
+
"learning_rate": 9.497634160383626e-05,
|
429 |
+
"loss": 8.1364,
|
430 |
+
"step": 60
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 2.9156626506024095,
|
434 |
+
"grad_norm": 1.0390625,
|
435 |
+
"learning_rate": 9.472010496260545e-05,
|
436 |
+
"loss": 8.4042,
|
437 |
+
"step": 61
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 2.963855421686747,
|
441 |
+
"grad_norm": 1.0,
|
442 |
+
"learning_rate": 9.445785853390073e-05,
|
443 |
+
"loss": 8.5425,
|
444 |
+
"step": 62
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 3.0,
|
448 |
+
"grad_norm": 0.95703125,
|
449 |
+
"learning_rate": 9.41896375601551e-05,
|
450 |
+
"loss": 8.3245,
|
451 |
+
"step": 63
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 3.0481927710843375,
|
455 |
+
"grad_norm": 1.203125,
|
456 |
+
"learning_rate": 9.391547808670096e-05,
|
457 |
+
"loss": 8.4545,
|
458 |
+
"step": 64
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 3.0963855421686746,
|
462 |
+
"grad_norm": 1.4921875,
|
463 |
+
"learning_rate": 9.36354169569261e-05,
|
464 |
+
"loss": 8.3195,
|
465 |
+
"step": 65
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 3.144578313253012,
|
469 |
+
"grad_norm": 1.1796875,
|
470 |
+
"learning_rate": 9.334949180732245e-05,
|
471 |
+
"loss": 8.0084,
|
472 |
+
"step": 66
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 3.1927710843373496,
|
476 |
+
"grad_norm": 1.1953125,
|
477 |
+
"learning_rate": 9.305774106242823e-05,
|
478 |
+
"loss": 8.1112,
|
479 |
+
"step": 67
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 3.2409638554216866,
|
483 |
+
"grad_norm": 1.2890625,
|
484 |
+
"learning_rate": 9.276020392966422e-05,
|
485 |
+
"loss": 7.919,
|
486 |
+
"step": 68
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 3.289156626506024,
|
490 |
+
"grad_norm": 1.84375,
|
491 |
+
"learning_rate": 9.245692039406479e-05,
|
492 |
+
"loss": 7.9248,
|
493 |
+
"step": 69
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 3.337349397590361,
|
497 |
+
"grad_norm": 0.8203125,
|
498 |
+
"learning_rate": 9.214793121290442e-05,
|
499 |
+
"loss": 8.2828,
|
500 |
+
"step": 70
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 3.3855421686746987,
|
504 |
+
"grad_norm": 0.92578125,
|
505 |
+
"learning_rate": 9.183327791022047e-05,
|
506 |
+
"loss": 8.3589,
|
507 |
+
"step": 71
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 3.433734939759036,
|
511 |
+
"grad_norm": 1.7421875,
|
512 |
+
"learning_rate": 9.151300277123301e-05,
|
513 |
+
"loss": 8.3782,
|
514 |
+
"step": 72
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 3.4819277108433733,
|
518 |
+
"grad_norm": 1.140625,
|
519 |
+
"learning_rate": 9.118714883666202e-05,
|
520 |
+
"loss": 7.9337,
|
521 |
+
"step": 73
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 3.5301204819277108,
|
525 |
+
"grad_norm": 1.2265625,
|
526 |
+
"learning_rate": 9.085575989694357e-05,
|
527 |
+
"loss": 7.9006,
|
528 |
+
"step": 74
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 3.5783132530120483,
|
532 |
+
"grad_norm": 1.1953125,
|
533 |
+
"learning_rate": 9.051888048634471e-05,
|
534 |
+
"loss": 7.9798,
|
535 |
+
"step": 75
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 3.6265060240963853,
|
539 |
+
"grad_norm": 1.84375,
|
540 |
+
"learning_rate": 9.017655587697885e-05,
|
541 |
+
"loss": 8.0473,
|
542 |
+
"step": 76
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 3.674698795180723,
|
546 |
+
"grad_norm": 2.265625,
|
547 |
+
"learning_rate": 8.982883207272163e-05,
|
548 |
+
"loss": 8.1255,
|
549 |
+
"step": 77
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 3.7228915662650603,
|
553 |
+
"grad_norm": 0.75,
|
554 |
+
"learning_rate": 8.947575580302878e-05,
|
555 |
+
"loss": 8.2798,
|
556 |
+
"step": 78
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 3.7710843373493974,
|
560 |
+
"grad_norm": 0.8984375,
|
561 |
+
"learning_rate": 8.911737451665617e-05,
|
562 |
+
"loss": 8.4047,
|
563 |
+
"step": 79
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 3.819277108433735,
|
567 |
+
"grad_norm": 3.171875,
|
568 |
+
"learning_rate": 8.875373637528335e-05,
|
569 |
+
"loss": 7.8474,
|
570 |
+
"step": 80
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 3.8674698795180724,
|
574 |
+
"grad_norm": 1.5234375,
|
575 |
+
"learning_rate": 8.838489024704131e-05,
|
576 |
+
"loss": 8.1407,
|
577 |
+
"step": 81
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 3.9156626506024095,
|
581 |
+
"grad_norm": 1.2578125,
|
582 |
+
"learning_rate": 8.801088569994522e-05,
|
583 |
+
"loss": 8.3991,
|
584 |
+
"step": 82
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 3.963855421686747,
|
588 |
+
"grad_norm": 2.015625,
|
589 |
+
"learning_rate": 8.763177299523317e-05,
|
590 |
+
"loss": 8.5433,
|
591 |
+
"step": 83
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 4.0,
|
595 |
+
"grad_norm": 2.1875,
|
596 |
+
"learning_rate": 8.724760308061172e-05,
|
597 |
+
"loss": 7.9072,
|
598 |
+
"step": 84
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 4.048192771084337,
|
602 |
+
"grad_norm": 0.74609375,
|
603 |
+
"learning_rate": 8.685842758340912e-05,
|
604 |
+
"loss": 8.1488,
|
605 |
+
"step": 85
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 4.096385542168675,
|
609 |
+
"grad_norm": 0.86328125,
|
610 |
+
"learning_rate": 8.646429880363746e-05,
|
611 |
+
"loss": 7.912,
|
612 |
+
"step": 86
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 4.144578313253012,
|
616 |
+
"grad_norm": 1.1015625,
|
617 |
+
"learning_rate": 8.606526970696409e-05,
|
618 |
+
"loss": 7.9744,
|
619 |
+
"step": 87
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 4.192771084337349,
|
623 |
+
"grad_norm": 0.59765625,
|
624 |
+
"learning_rate": 8.566139391759378e-05,
|
625 |
+
"loss": 8.2197,
|
626 |
+
"step": 88
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 4.240963855421687,
|
630 |
+
"grad_norm": 0.76171875,
|
631 |
+
"learning_rate": 8.525272571106241e-05,
|
632 |
+
"loss": 8.1522,
|
633 |
+
"step": 89
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 4.289156626506024,
|
637 |
+
"grad_norm": 0.63671875,
|
638 |
+
"learning_rate": 8.483932000694295e-05,
|
639 |
+
"loss": 8.3984,
|
640 |
+
"step": 90
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 4.337349397590361,
|
644 |
+
"grad_norm": 0.83984375,
|
645 |
+
"learning_rate": 8.442123236146508e-05,
|
646 |
+
"loss": 7.976,
|
647 |
+
"step": 91
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 4.385542168674699,
|
651 |
+
"grad_norm": 0.8828125,
|
652 |
+
"learning_rate": 8.399851896004913e-05,
|
653 |
+
"loss": 8.0713,
|
654 |
+
"step": 92
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 4.433734939759036,
|
658 |
+
"grad_norm": 0.875,
|
659 |
+
"learning_rate": 8.357123660975553e-05,
|
660 |
+
"loss": 7.5872,
|
661 |
+
"step": 93
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 4.481927710843373,
|
665 |
+
"grad_norm": 0.69140625,
|
666 |
+
"learning_rate": 8.313944273165069e-05,
|
667 |
+
"loss": 7.8125,
|
668 |
+
"step": 94
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 4.530120481927711,
|
672 |
+
"grad_norm": 0.74609375,
|
673 |
+
"learning_rate": 8.270319535309035e-05,
|
674 |
+
"loss": 7.8665,
|
675 |
+
"step": 95
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 4.578313253012048,
|
679 |
+
"grad_norm": 0.7734375,
|
680 |
+
"learning_rate": 8.22625530999215e-05,
|
681 |
+
"loss": 8.192,
|
682 |
+
"step": 96
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 4.626506024096385,
|
686 |
+
"grad_norm": 0.90234375,
|
687 |
+
"learning_rate": 8.181757518860387e-05,
|
688 |
+
"loss": 7.6524,
|
689 |
+
"step": 97
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 4.674698795180722,
|
693 |
+
"grad_norm": 0.7890625,
|
694 |
+
"learning_rate": 8.136832141825196e-05,
|
695 |
+
"loss": 8.033,
|
696 |
+
"step": 98
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 4.72289156626506,
|
700 |
+
"grad_norm": 0.60546875,
|
701 |
+
"learning_rate": 8.091485216259886e-05,
|
702 |
+
"loss": 8.4809,
|
703 |
+
"step": 99
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 4.771084337349397,
|
707 |
+
"grad_norm": 0.57421875,
|
708 |
+
"learning_rate": 8.04572283618829e-05,
|
709 |
+
"loss": 8.5897,
|
710 |
+
"step": 100
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 4.8192771084337345,
|
714 |
+
"grad_norm": 0.8046875,
|
715 |
+
"learning_rate": 7.999551151465792e-05,
|
716 |
+
"loss": 8.1135,
|
717 |
+
"step": 101
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 4.867469879518072,
|
721 |
+
"grad_norm": 0.6328125,
|
722 |
+
"learning_rate": 7.952976366952888e-05,
|
723 |
+
"loss": 8.0242,
|
724 |
+
"step": 102
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 4.9156626506024095,
|
728 |
+
"grad_norm": 0.6640625,
|
729 |
+
"learning_rate": 7.906004741681321e-05,
|
730 |
+
"loss": 8.3623,
|
731 |
+
"step": 103
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 4.9638554216867465,
|
735 |
+
"grad_norm": 0.71484375,
|
736 |
+
"learning_rate": 7.858642588012957e-05,
|
737 |
+
"loss": 7.9387,
|
738 |
+
"step": 104
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 5.0,
|
742 |
+
"grad_norm": 0.515625,
|
743 |
+
"learning_rate": 7.810896270791483e-05,
|
744 |
+
"loss": 8.7533,
|
745 |
+
"step": 105
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 5.048192771084337,
|
749 |
+
"grad_norm": 0.421875,
|
750 |
+
"learning_rate": 7.762772206487066e-05,
|
751 |
+
"loss": 8.3158,
|
752 |
+
"step": 106
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 5.096385542168675,
|
756 |
+
"grad_norm": 0.64453125,
|
757 |
+
"learning_rate": 7.714276862334051e-05,
|
758 |
+
"loss": 7.8833,
|
759 |
+
"step": 107
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 5.144578313253012,
|
763 |
+
"grad_norm": 0.490234375,
|
764 |
+
"learning_rate": 7.665416755461859e-05,
|
765 |
+
"loss": 8.3018,
|
766 |
+
"step": 108
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 5.192771084337349,
|
770 |
+
"grad_norm": 0.5546875,
|
771 |
+
"learning_rate": 7.616198452019175e-05,
|
772 |
+
"loss": 8.2687,
|
773 |
+
"step": 109
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 5.240963855421687,
|
777 |
+
"grad_norm": 0.8125,
|
778 |
+
"learning_rate": 7.566628566291536e-05,
|
779 |
+
"loss": 7.5486,
|
780 |
+
"step": 110
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 5.289156626506024,
|
784 |
+
"grad_norm": 0.451171875,
|
785 |
+
"learning_rate": 7.516713759812465e-05,
|
786 |
+
"loss": 8.6013,
|
787 |
+
"step": 111
|
788 |
+
},
|
789 |
+
{
|
790 |
+
"epoch": 5.337349397590361,
|
791 |
+
"grad_norm": 0.66015625,
|
792 |
+
"learning_rate": 7.466460740468245e-05,
|
793 |
+
"loss": 8.0842,
|
794 |
+
"step": 112
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 5.385542168674699,
|
798 |
+
"grad_norm": 0.486328125,
|
799 |
+
"learning_rate": 7.415876261596474e-05,
|
800 |
+
"loss": 8.1395,
|
801 |
+
"step": 113
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 5.433734939759036,
|
805 |
+
"grad_norm": 0.72265625,
|
806 |
+
"learning_rate": 7.364967121078502e-05,
|
807 |
+
"loss": 7.2225,
|
808 |
+
"step": 114
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 5.481927710843373,
|
812 |
+
"grad_norm": 0.58203125,
|
813 |
+
"learning_rate": 7.313740160425887e-05,
|
814 |
+
"loss": 8.2312,
|
815 |
+
"step": 115
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 5.530120481927711,
|
819 |
+
"grad_norm": 0.435546875,
|
820 |
+
"learning_rate": 7.262202263860988e-05,
|
821 |
+
"loss": 8.2891,
|
822 |
+
"step": 116
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 5.578313253012048,
|
826 |
+
"grad_norm": 0.6171875,
|
827 |
+
"learning_rate": 7.210360357391818e-05,
|
828 |
+
"loss": 7.8645,
|
829 |
+
"step": 117
|
830 |
+
},
|
831 |
+
{
|
832 |
+
"epoch": 5.626506024096385,
|
833 |
+
"grad_norm": 0.55078125,
|
834 |
+
"learning_rate": 7.158221407881272e-05,
|
835 |
+
"loss": 7.4403,
|
836 |
+
"step": 118
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 5.674698795180722,
|
840 |
+
"grad_norm": 0.33203125,
|
841 |
+
"learning_rate": 7.105792422110885e-05,
|
842 |
+
"loss": 8.3234,
|
843 |
+
"step": 119
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 5.72289156626506,
|
847 |
+
"grad_norm": 0.40625,
|
848 |
+
"learning_rate": 7.05308044583921e-05,
|
849 |
+
"loss": 8.3879,
|
850 |
+
"step": 120
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 5.771084337349397,
|
854 |
+
"grad_norm": 0.76171875,
|
855 |
+
"learning_rate": 7.000092562854959e-05,
|
856 |
+
"loss": 8.3408,
|
857 |
+
"step": 121
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 5.8192771084337345,
|
861 |
+
"grad_norm": 0.5703125,
|
862 |
+
"learning_rate": 6.946835894025037e-05,
|
863 |
+
"loss": 8.0107,
|
864 |
+
"step": 122
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 5.867469879518072,
|
868 |
+
"grad_norm": 0.375,
|
869 |
+
"learning_rate": 6.893317596337592e-05,
|
870 |
+
"loss": 8.1194,
|
871 |
+
"step": 123
|
872 |
+
},
|
873 |
+
{
|
874 |
+
"epoch": 5.9156626506024095,
|
875 |
+
"grad_norm": 0.4609375,
|
876 |
+
"learning_rate": 6.839544861940214e-05,
|
877 |
+
"loss": 8.2629,
|
878 |
+
"step": 124
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 5.9638554216867465,
|
882 |
+
"grad_norm": 1.1484375,
|
883 |
+
"learning_rate": 6.785524917173399e-05,
|
884 |
+
"loss": 8.056,
|
885 |
+
"step": 125
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 6.0,
|
889 |
+
"grad_norm": 0.5234375,
|
890 |
+
"learning_rate": 6.731265021599436e-05,
|
891 |
+
"loss": 7.8151,
|
892 |
+
"step": 126
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 6.048192771084337,
|
896 |
+
"grad_norm": 0.421875,
|
897 |
+
"learning_rate": 6.676772467026808e-05,
|
898 |
+
"loss": 7.6327,
|
899 |
+
"step": 127
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 6.096385542168675,
|
903 |
+
"grad_norm": 0.287109375,
|
904 |
+
"learning_rate": 6.622054576530274e-05,
|
905 |
+
"loss": 8.0663,
|
906 |
+
"step": 128
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 6.144578313253012,
|
910 |
+
"grad_norm": 0.318359375,
|
911 |
+
"learning_rate": 6.567118703466746e-05,
|
912 |
+
"loss": 8.2473,
|
913 |
+
"step": 129
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 6.192771084337349,
|
917 |
+
"grad_norm": 0.462890625,
|
918 |
+
"learning_rate": 6.511972230487091e-05,
|
919 |
+
"loss": 7.6241,
|
920 |
+
"step": 130
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 6.240963855421687,
|
924 |
+
"grad_norm": 0.4609375,
|
925 |
+
"learning_rate": 6.456622568544012e-05,
|
926 |
+
"loss": 8.3676,
|
927 |
+
"step": 131
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 6.289156626506024,
|
931 |
+
"grad_norm": 0.359375,
|
932 |
+
"learning_rate": 6.401077155896099e-05,
|
933 |
+
"loss": 8.3317,
|
934 |
+
"step": 132
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 6.337349397590361,
|
938 |
+
"grad_norm": 0.4921875,
|
939 |
+
"learning_rate": 6.345343457108237e-05,
|
940 |
+
"loss": 8.2049,
|
941 |
+
"step": 133
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 6.385542168674699,
|
945 |
+
"grad_norm": 0.42578125,
|
946 |
+
"learning_rate": 6.289428962048467e-05,
|
947 |
+
"loss": 7.9903,
|
948 |
+
"step": 134
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 6.433734939759036,
|
952 |
+
"grad_norm": 0.34375,
|
953 |
+
"learning_rate": 6.233341184881441e-05,
|
954 |
+
"loss": 7.7185,
|
955 |
+
"step": 135
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 6.481927710843373,
|
959 |
+
"grad_norm": 0.349609375,
|
960 |
+
"learning_rate": 6.177087663058626e-05,
|
961 |
+
"loss": 7.9223,
|
962 |
+
"step": 136
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 6.530120481927711,
|
966 |
+
"grad_norm": 0.30859375,
|
967 |
+
"learning_rate": 6.120675956305363e-05,
|
968 |
+
"loss": 8.0702,
|
969 |
+
"step": 137
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 6.578313253012048,
|
973 |
+
"grad_norm": 0.4140625,
|
974 |
+
"learning_rate": 6.0641136456049454e-05,
|
975 |
+
"loss": 8.0074,
|
976 |
+
"step": 138
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 6.626506024096385,
|
980 |
+
"grad_norm": 0.3203125,
|
981 |
+
"learning_rate": 6.0074083321798355e-05,
|
982 |
+
"loss": 8.2116,
|
983 |
+
"step": 139
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 6.674698795180722,
|
987 |
+
"grad_norm": 0.296875,
|
988 |
+
"learning_rate": 5.95056763647016e-05,
|
989 |
+
"loss": 8.1088,
|
990 |
+
"step": 140
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 6.72289156626506,
|
994 |
+
"grad_norm": 0.416015625,
|
995 |
+
"learning_rate": 5.893599197109625e-05,
|
996 |
+
"loss": 7.7871,
|
997 |
+
"step": 141
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 6.771084337349397,
|
1001 |
+
"grad_norm": 0.36328125,
|
1002 |
+
"learning_rate": 5.8365106698989834e-05,
|
1003 |
+
"loss": 8.3745,
|
1004 |
+
"step": 142
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 6.8192771084337345,
|
1008 |
+
"grad_norm": 0.3203125,
|
1009 |
+
"learning_rate": 5.7793097267772e-05,
|
1010 |
+
"loss": 7.8425,
|
1011 |
+
"step": 143
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 6.867469879518072,
|
1015 |
+
"grad_norm": 0.431640625,
|
1016 |
+
"learning_rate": 5.722004054790442e-05,
|
1017 |
+
"loss": 7.8534,
|
1018 |
+
"step": 144
|
1019 |
+
},
|
1020 |
+
{
|
1021 |
+
"epoch": 6.9156626506024095,
|
1022 |
+
"grad_norm": 0.29296875,
|
1023 |
+
"learning_rate": 5.664601355059044e-05,
|
1024 |
+
"loss": 8.1238,
|
1025 |
+
"step": 145
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 6.9638554216867465,
|
1029 |
+
"grad_norm": 0.349609375,
|
1030 |
+
"learning_rate": 5.607109341742579e-05,
|
1031 |
+
"loss": 8.0837,
|
1032 |
+
"step": 146
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 7.0,
|
1036 |
+
"grad_norm": 0.236328125,
|
1037 |
+
"learning_rate": 5.5495357410031804e-05,
|
1038 |
+
"loss": 8.7606,
|
1039 |
+
"step": 147
|
1040 |
+
}
|
1041 |
+
],
|
1042 |
+
"logging_steps": 1,
|
1043 |
+
"max_steps": 291,
|
1044 |
+
"num_input_tokens_seen": 0,
|
1045 |
+
"num_train_epochs": 14,
|
1046 |
+
"save_steps": 21,
|
1047 |
+
"stateful_callbacks": {
|
1048 |
+
"TrainerControl": {
|
1049 |
+
"args": {
|
1050 |
+
"should_epoch_stop": false,
|
1051 |
+
"should_evaluate": false,
|
1052 |
+
"should_log": false,
|
1053 |
+
"should_save": true,
|
1054 |
+
"should_training_stop": false
|
1055 |
+
},
|
1056 |
+
"attributes": {}
|
1057 |
+
}
|
1058 |
+
},
|
1059 |
+
"total_flos": 4.95180970127786e+17,
|
1060 |
+
"train_batch_size": 1,
|
1061 |
+
"trial_name": null,
|
1062 |
+
"trial_params": null
|
1063 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ce8ee4d67fc559d7e92a3cb1e44373dd4ad27a3751325f5ceef60220f1863ad6
|
3 |
+
size 6584
|