Upload folder using huggingface_hub
Browse files- config.json +72 -0
- generation_config.json +7 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +228 -0
- trainer_state.json +763 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"DetikzifyForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 32013,
|
| 9 |
+
"concat_patches": 2,
|
| 10 |
+
"eos_token_id": 32014,
|
| 11 |
+
"feature_layer": 26,
|
| 12 |
+
"head_dim": 128,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2048,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 5504,
|
| 17 |
+
"max_position_embeddings": 16384,
|
| 18 |
+
"mlp_bias": false,
|
| 19 |
+
"mm_hidden_size": 2304,
|
| 20 |
+
"model_type": "detikzify",
|
| 21 |
+
"num_attention_heads": 16,
|
| 22 |
+
"num_hidden_layers": 24,
|
| 23 |
+
"num_key_value_heads": 16,
|
| 24 |
+
"num_patches": 364,
|
| 25 |
+
"patch_token_id": 32013,
|
| 26 |
+
"pretraining_tp": 1,
|
| 27 |
+
"rms_norm_eps": 1e-06,
|
| 28 |
+
"rope_scaling": {
|
| 29 |
+
"factor": 4.0,
|
| 30 |
+
"rope_type": "linear",
|
| 31 |
+
"type": "linear"
|
| 32 |
+
},
|
| 33 |
+
"rope_theta": 100000,
|
| 34 |
+
"tie_word_embeddings": false,
|
| 35 |
+
"torch_dtype": "float32",
|
| 36 |
+
"transformers_version": "4.46.2",
|
| 37 |
+
"use_cache": false,
|
| 38 |
+
"use_mm_proj": true,
|
| 39 |
+
"vision_config": {
|
| 40 |
+
"architecture": "vit_so400m_patch14_siglip_384",
|
| 41 |
+
"classifier": "head",
|
| 42 |
+
"crop_mode": "center",
|
| 43 |
+
"crop_pct": 0.9,
|
| 44 |
+
"custom_load": false,
|
| 45 |
+
"first_conv": "patch_embed.proj",
|
| 46 |
+
"fixed_input_size": true,
|
| 47 |
+
"hf_hub_filename": "open_clip_pytorch_model.bin",
|
| 48 |
+
"hf_hub_id": "timm/ViT-SO400M-14-SigLIP-384",
|
| 49 |
+
"input_size": [
|
| 50 |
+
3,
|
| 51 |
+
384,
|
| 52 |
+
384
|
| 53 |
+
],
|
| 54 |
+
"interpolation": "bicubic",
|
| 55 |
+
"mean": [
|
| 56 |
+
0.5,
|
| 57 |
+
0.5,
|
| 58 |
+
0.5
|
| 59 |
+
],
|
| 60 |
+
"num_classes": 0,
|
| 61 |
+
"pool_size": null,
|
| 62 |
+
"std": [
|
| 63 |
+
0.5,
|
| 64 |
+
0.5,
|
| 65 |
+
0.5
|
| 66 |
+
],
|
| 67 |
+
"tag": "webli",
|
| 68 |
+
"url": ""
|
| 69 |
+
},
|
| 70 |
+
"vision_tower": "vit_so400m_patch14_siglip_384.webli",
|
| 71 |
+
"vocab_size": 32256
|
| 72 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 32013,
|
| 4 |
+
"eos_token_id": 32014,
|
| 5 |
+
"pad_token_id": 32018,
|
| 6 |
+
"transformers_version": "4.46.2"
|
| 7 |
+
}
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5cf2692594b44f2282a189265999ea42f51be94f21c4bebdc838fe2f55218716
|
| 3 |
+
size 4986380064
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2bf14a1981be67fbd1a5432f76aaccf8411a424307c127b40fd2434b599110b3
|
| 3 |
+
size 418415560
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,228 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 5404770304
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00002-of-00002.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 26 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 35 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 53 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 125 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 161 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 162 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 163 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 164 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 165 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 166 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 167 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 168 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 169 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 170 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 171 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 172 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 173 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 174 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 175 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 176 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 177 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 178 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 179 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 180 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 181 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 182 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 183 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 184 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 185 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 186 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 187 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 188 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 189 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 190 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 191 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 192 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 193 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 194 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 195 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 196 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 197 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 198 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 199 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 200 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 201 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 202 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 203 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 204 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 205 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 206 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 207 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 208 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 209 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 210 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 211 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 212 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 213 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 214 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 215 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 216 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 217 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
| 218 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
| 219 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 220 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
| 221 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 222 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
| 223 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
| 224 |
+
"model.mm_projector.bias": "model-00002-of-00002.safetensors",
|
| 225 |
+
"model.mm_projector.weight": "model-00002-of-00002.safetensors",
|
| 226 |
+
"model.norm.weight": "model-00002-of-00002.safetensors"
|
| 227 |
+
}
|
| 228 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,763 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.995306228883699,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1032,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.029024285163601733,
|
| 13 |
+
"grad_norm": 88.48429870605469,
|
| 14 |
+
"learning_rate": 9.677419354838708e-05,
|
| 15 |
+
"loss": 0.7958,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.058048570327203466,
|
| 20 |
+
"grad_norm": 78.84452056884766,
|
| 21 |
+
"learning_rate": 0.00019354838709677416,
|
| 22 |
+
"loss": 0.7504,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.08707285549080519,
|
| 27 |
+
"grad_norm": 213.83749389648438,
|
| 28 |
+
"learning_rate": 0.00029032258064516127,
|
| 29 |
+
"loss": 0.7391,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.11609714065440693,
|
| 34 |
+
"grad_norm": 64.08855438232422,
|
| 35 |
+
"learning_rate": 0.00029994016586766087,
|
| 36 |
+
"loss": 0.7567,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.14512142581800866,
|
| 41 |
+
"grad_norm": 71.85431671142578,
|
| 42 |
+
"learning_rate": 0.00029973339311370587,
|
| 43 |
+
"loss": 0.7117,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.17414571098161039,
|
| 48 |
+
"grad_norm": 66.32382202148438,
|
| 49 |
+
"learning_rate": 0.00029937914664890375,
|
| 50 |
+
"loss": 0.6959,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.20316999614521214,
|
| 55 |
+
"grad_norm": 52.99678039550781,
|
| 56 |
+
"learning_rate": 0.00029887777537365414,
|
| 57 |
+
"loss": 0.6835,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.23219428130881387,
|
| 62 |
+
"grad_norm": 53.15193557739258,
|
| 63 |
+
"learning_rate": 0.0002982297730928522,
|
| 64 |
+
"loss": 0.6855,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.2612185664724156,
|
| 69 |
+
"grad_norm": 62.969337463378906,
|
| 70 |
+
"learning_rate": 0.00029743577802953563,
|
| 71 |
+
"loss": 0.6758,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.2902428516360173,
|
| 76 |
+
"grad_norm": 47.597293853759766,
|
| 77 |
+
"learning_rate": 0.00029649657219629316,
|
| 78 |
+
"loss": 0.665,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.31926713679961904,
|
| 83 |
+
"grad_norm": 50.93095397949219,
|
| 84 |
+
"learning_rate": 0.00029541308062505385,
|
| 85 |
+
"loss": 0.6689,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.34829142196322077,
|
| 90 |
+
"grad_norm": 44.195335388183594,
|
| 91 |
+
"learning_rate": 0.00029418637045601514,
|
| 92 |
+
"loss": 0.6553,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.3773157071268225,
|
| 97 |
+
"grad_norm": 46.52369689941406,
|
| 98 |
+
"learning_rate": 0.00029281764988660705,
|
| 99 |
+
"loss": 0.6584,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.4063399922904243,
|
| 104 |
+
"grad_norm": 51.798343658447266,
|
| 105 |
+
"learning_rate": 0.0002913082669815285,
|
| 106 |
+
"loss": 0.6514,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.435364277454026,
|
| 111 |
+
"grad_norm": 53.8443489074707,
|
| 112 |
+
"learning_rate": 0.0002896597083450262,
|
| 113 |
+
"loss": 0.6276,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.46438856261762773,
|
| 118 |
+
"grad_norm": 44.94770812988281,
|
| 119 |
+
"learning_rate": 0.0002878735976567259,
|
| 120 |
+
"loss": 0.6428,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.49341284778122946,
|
| 125 |
+
"grad_norm": 38.52789306640625,
|
| 126 |
+
"learning_rate": 0.0002859516940724558,
|
| 127 |
+
"loss": 0.6415,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.5224371329448312,
|
| 132 |
+
"grad_norm": 52.5710563659668,
|
| 133 |
+
"learning_rate": 0.0002838958904916392,
|
| 134 |
+
"loss": 0.6302,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.551461418108433,
|
| 139 |
+
"grad_norm": 46.27107238769531,
|
| 140 |
+
"learning_rate": 0.00028170821169296126,
|
| 141 |
+
"loss": 0.6246,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.5804857032720346,
|
| 146 |
+
"grad_norm": 42.310123443603516,
|
| 147 |
+
"learning_rate": 0.00027939081234014705,
|
| 148 |
+
"loss": 0.627,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.6095099884356364,
|
| 153 |
+
"grad_norm": 48.09523391723633,
|
| 154 |
+
"learning_rate": 0.0002769459748598149,
|
| 155 |
+
"loss": 0.623,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.6385342735992381,
|
| 160 |
+
"grad_norm": 62.250152587890625,
|
| 161 |
+
"learning_rate": 0.0002743761071934942,
|
| 162 |
+
"loss": 0.6312,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.6675585587628399,
|
| 167 |
+
"grad_norm": 42.713130950927734,
|
| 168 |
+
"learning_rate": 0.00027168374042602366,
|
| 169 |
+
"loss": 0.6101,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.6965828439264415,
|
| 174 |
+
"grad_norm": 49.83562469482422,
|
| 175 |
+
"learning_rate": 0.00026887152629266354,
|
| 176 |
+
"loss": 0.6,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.7256071290900433,
|
| 181 |
+
"grad_norm": 39.01671600341797,
|
| 182 |
+
"learning_rate": 0.0002659422345673789,
|
| 183 |
+
"loss": 0.6038,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.754631414253645,
|
| 188 |
+
"grad_norm": 35.13432693481445,
|
| 189 |
+
"learning_rate": 0.0002628987503348651,
|
| 190 |
+
"loss": 0.5956,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.7836556994172468,
|
| 195 |
+
"grad_norm": 41.503684997558594,
|
| 196 |
+
"learning_rate": 0.00025974407114900353,
|
| 197 |
+
"loss": 0.6134,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.8126799845808486,
|
| 202 |
+
"grad_norm": 39.328548431396484,
|
| 203 |
+
"learning_rate": 0.0002564813040805443,
|
| 204 |
+
"loss": 0.59,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.8417042697444502,
|
| 209 |
+
"grad_norm": 34.63987731933594,
|
| 210 |
+
"learning_rate": 0.0002531136626569259,
|
| 211 |
+
"loss": 0.5834,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.870728554908052,
|
| 216 |
+
"grad_norm": 37.82402801513672,
|
| 217 |
+
"learning_rate": 0.0002496444636972439,
|
| 218 |
+
"loss": 0.6023,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.8997528400716537,
|
| 223 |
+
"grad_norm": 38.01532745361328,
|
| 224 |
+
"learning_rate": 0.0002460771240454877,
|
| 225 |
+
"loss": 0.5866,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.9287771252352555,
|
| 230 |
+
"grad_norm": 37.758487701416016,
|
| 231 |
+
"learning_rate": 0.00024241515720526083,
|
| 232 |
+
"loss": 0.6001,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.9578014103988571,
|
| 237 |
+
"grad_norm": 34.032989501953125,
|
| 238 |
+
"learning_rate": 0.0002386621698793015,
|
| 239 |
+
"loss": 0.5833,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.9868256955624589,
|
| 244 |
+
"grad_norm": 41.784881591796875,
|
| 245 |
+
"learning_rate": 0.0002348218584172095,
|
| 246 |
+
"loss": 0.5876,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.0158499807260606,
|
| 251 |
+
"grad_norm": 35.09678268432617,
|
| 252 |
+
"learning_rate": 0.00023089800517487986,
|
| 253 |
+
"loss": 0.5319,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.0448742658896624,
|
| 258 |
+
"grad_norm": 32.305877685546875,
|
| 259 |
+
"learning_rate": 0.00022689447478922784,
|
| 260 |
+
"loss": 0.4666,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.0738985510532641,
|
| 265 |
+
"grad_norm": 35.80933380126953,
|
| 266 |
+
"learning_rate": 0.0002228152103718745,
|
| 267 |
+
"loss": 0.4619,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.102922836216866,
|
| 272 |
+
"grad_norm": 32.89548873901367,
|
| 273 |
+
"learning_rate": 0.00021866422962554238,
|
| 274 |
+
"loss": 0.4739,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.1319471213804675,
|
| 279 |
+
"grad_norm": 36.34146499633789,
|
| 280 |
+
"learning_rate": 0.0002144456208869851,
|
| 281 |
+
"loss": 0.4676,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.1609714065440693,
|
| 286 |
+
"grad_norm": 42.522438049316406,
|
| 287 |
+
"learning_rate": 0.00021016353910034938,
|
| 288 |
+
"loss": 0.4765,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.189995691707671,
|
| 293 |
+
"grad_norm": 34.677650451660156,
|
| 294 |
+
"learning_rate": 0.00020582220172493467,
|
| 295 |
+
"loss": 0.4715,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.2190199768712728,
|
| 300 |
+
"grad_norm": 33.74694061279297,
|
| 301 |
+
"learning_rate": 0.0002014258845813811,
|
| 302 |
+
"loss": 0.4655,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.2480442620348744,
|
| 307 |
+
"grad_norm": 30.60100555419922,
|
| 308 |
+
"learning_rate": 0.00019697891764037685,
|
| 309 |
+
"loss": 0.461,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.2770685471984762,
|
| 314 |
+
"grad_norm": 38.6037483215332,
|
| 315 |
+
"learning_rate": 0.00019248568075803257,
|
| 316 |
+
"loss": 0.4719,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.306092832362078,
|
| 321 |
+
"grad_norm": 32.19020080566406,
|
| 322 |
+
"learning_rate": 0.00018795059936212348,
|
| 323 |
+
"loss": 0.4586,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.3351171175256797,
|
| 328 |
+
"grad_norm": 32.962276458740234,
|
| 329 |
+
"learning_rate": 0.00018337814009344714,
|
| 330 |
+
"loss": 0.4697,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.3641414026892815,
|
| 335 |
+
"grad_norm": 29.69386863708496,
|
| 336 |
+
"learning_rate": 0.00017877280640659068,
|
| 337 |
+
"loss": 0.4639,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.393165687852883,
|
| 342 |
+
"grad_norm": 31.52634620666504,
|
| 343 |
+
"learning_rate": 0.00017413913413443915,
|
| 344 |
+
"loss": 0.4579,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.4221899730164849,
|
| 349 |
+
"grad_norm": 35.30017852783203,
|
| 350 |
+
"learning_rate": 0.0001694816870207949,
|
| 351 |
+
"loss": 0.4684,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.4512142581800866,
|
| 356 |
+
"grad_norm": 33.88492202758789,
|
| 357 |
+
"learning_rate": 0.00016480505222550682,
|
| 358 |
+
"loss": 0.4534,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.4802385433436884,
|
| 363 |
+
"grad_norm": 30.00653076171875,
|
| 364 |
+
"learning_rate": 0.00016011383580653697,
|
| 365 |
+
"loss": 0.464,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.50926282850729,
|
| 370 |
+
"grad_norm": 33.75349807739258,
|
| 371 |
+
"learning_rate": 0.00015541265818341433,
|
| 372 |
+
"loss": 0.4497,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.5382871136708918,
|
| 377 |
+
"grad_norm": 31.689538955688477,
|
| 378 |
+
"learning_rate": 0.00015070614958654393,
|
| 379 |
+
"loss": 0.4412,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.5673113988344936,
|
| 384 |
+
"grad_norm": 28.848291397094727,
|
| 385 |
+
"learning_rate": 0.00014599894549685273,
|
| 386 |
+
"loss": 0.4467,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.5963356839980953,
|
| 391 |
+
"grad_norm": 27.079084396362305,
|
| 392 |
+
"learning_rate": 0.0001412956820802647,
|
| 393 |
+
"loss": 0.4428,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.6253599691616971,
|
| 398 |
+
"grad_norm": 29.99922752380371,
|
| 399 |
+
"learning_rate": 0.0001366009916215007,
|
| 400 |
+
"loss": 0.4374,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.654384254325299,
|
| 405 |
+
"grad_norm": 28.763559341430664,
|
| 406 |
+
"learning_rate": 0.00013191949796170156,
|
| 407 |
+
"loss": 0.4419,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.6834085394889005,
|
| 412 |
+
"grad_norm": 30.430801391601562,
|
| 413 |
+
"learning_rate": 0.00012725581194436694,
|
| 414 |
+
"loss": 0.445,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 1.7124328246525022,
|
| 419 |
+
"grad_norm": 28.43861198425293,
|
| 420 |
+
"learning_rate": 0.00012261452687409576,
|
| 421 |
+
"loss": 0.4452,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.7414571098161038,
|
| 426 |
+
"grad_norm": 33.317378997802734,
|
| 427 |
+
"learning_rate": 0.00011800021399260094,
|
| 428 |
+
"loss": 0.4378,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.7704813949797056,
|
| 433 |
+
"grad_norm": 27.84680938720703,
|
| 434 |
+
"learning_rate": 0.00011341741797645384,
|
| 435 |
+
"loss": 0.4375,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 1.7995056801433074,
|
| 440 |
+
"grad_norm": 32.20744705200195,
|
| 441 |
+
"learning_rate": 0.0001088706524609933,
|
| 442 |
+
"loss": 0.4281,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.8285299653069091,
|
| 447 |
+
"grad_norm": 29.68756675720215,
|
| 448 |
+
"learning_rate": 0.00010436439559480705,
|
| 449 |
+
"loss": 0.4338,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.857554250470511,
|
| 454 |
+
"grad_norm": 31.973575592041016,
|
| 455 |
+
"learning_rate": 9.990308562916479e-05,
|
| 456 |
+
"loss": 0.4265,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.8865785356341127,
|
| 461 |
+
"grad_norm": 26.948545455932617,
|
| 462 |
+
"learning_rate": 9.549111654674586e-05,
|
| 463 |
+
"loss": 0.4165,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.9156028207977145,
|
| 468 |
+
"grad_norm": 27.91978645324707,
|
| 469 |
+
"learning_rate": 9.11328337339681e-05,
|
| 470 |
+
"loss": 0.416,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.944627105961316,
|
| 475 |
+
"grad_norm": 34.58734130859375,
|
| 476 |
+
"learning_rate": 8.68325297011791e-05,
|
| 477 |
+
"loss": 0.4196,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 1.9736513911249178,
|
| 482 |
+
"grad_norm": 24.959909439086914,
|
| 483 |
+
"learning_rate": 8.259443985492576e-05,
|
| 484 |
+
"loss": 0.4305,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.0026756762885194,
|
| 489 |
+
"grad_norm": 39.029258728027344,
|
| 490 |
+
"learning_rate": 7.842273832646591e-05,
|
| 491 |
+
"loss": 0.4122,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.031699961452121,
|
| 496 |
+
"grad_norm": 27.386505126953125,
|
| 497 |
+
"learning_rate": 7.432153386063034e-05,
|
| 498 |
+
"loss": 0.2751,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.060724246615723,
|
| 503 |
+
"grad_norm": 30.209821701049805,
|
| 504 |
+
"learning_rate": 7.029486576908444e-05,
|
| 505 |
+
"loss": 0.2654,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.0897485317793247,
|
| 510 |
+
"grad_norm": 31.79279327392578,
|
| 511 |
+
"learning_rate": 6.63466999519756e-05,
|
| 512 |
+
"loss": 0.2648,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.1187728169429265,
|
| 517 |
+
"grad_norm": 31.363250732421875,
|
| 518 |
+
"learning_rate": 6.248092499188372e-05,
|
| 519 |
+
"loss": 0.2587,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.1477971021065283,
|
| 524 |
+
"grad_norm": 33.62345886230469,
|
| 525 |
+
"learning_rate": 5.870134832392269e-05,
|
| 526 |
+
"loss": 0.2564,
|
| 527 |
+
"step": 740
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.17682138727013,
|
| 531 |
+
"grad_norm": 31.332040786743164,
|
| 532 |
+
"learning_rate": 5.5011692485764734e-05,
|
| 533 |
+
"loss": 0.253,
|
| 534 |
+
"step": 750
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.205845672433732,
|
| 538 |
+
"grad_norm": 30.034757614135742,
|
| 539 |
+
"learning_rate": 5.141559145128093e-05,
|
| 540 |
+
"loss": 0.26,
|
| 541 |
+
"step": 760
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 2.234869957597333,
|
| 545 |
+
"grad_norm": 30.40983772277832,
|
| 546 |
+
"learning_rate": 4.791658705140897e-05,
|
| 547 |
+
"loss": 0.2507,
|
| 548 |
+
"step": 770
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.263894242760935,
|
| 552 |
+
"grad_norm": 27.134634017944336,
|
| 553 |
+
"learning_rate": 4.451812548577333e-05,
|
| 554 |
+
"loss": 0.2518,
|
| 555 |
+
"step": 780
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 2.2929185279245368,
|
| 559 |
+
"grad_norm": 27.9604434967041,
|
| 560 |
+
"learning_rate": 4.1223553928493564e-05,
|
| 561 |
+
"loss": 0.2494,
|
| 562 |
+
"step": 790
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 2.3219428130881385,
|
| 566 |
+
"grad_norm": 33.73405838012695,
|
| 567 |
+
"learning_rate": 3.803611723152345e-05,
|
| 568 |
+
"loss": 0.2441,
|
| 569 |
+
"step": 800
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 2.3509670982517403,
|
| 573 |
+
"grad_norm": 31.413331985473633,
|
| 574 |
+
"learning_rate": 3.495895472876854e-05,
|
| 575 |
+
"loss": 0.2479,
|
| 576 |
+
"step": 810
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 2.379991383415342,
|
| 580 |
+
"grad_norm": 28.82455062866211,
|
| 581 |
+
"learning_rate": 3.199509714412901e-05,
|
| 582 |
+
"loss": 0.2529,
|
| 583 |
+
"step": 820
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 2.409015668578944,
|
| 587 |
+
"grad_norm": 31.402931213378906,
|
| 588 |
+
"learning_rate": 2.9147463606513528e-05,
|
| 589 |
+
"loss": 0.2499,
|
| 590 |
+
"step": 830
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.4380399537425457,
|
| 594 |
+
"grad_norm": 25.637739181518555,
|
| 595 |
+
"learning_rate": 2.6418858774763992e-05,
|
| 596 |
+
"loss": 0.236,
|
| 597 |
+
"step": 840
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 2.467064238906147,
|
| 601 |
+
"grad_norm": 27.47572898864746,
|
| 602 |
+
"learning_rate": 2.38119700753228e-05,
|
| 603 |
+
"loss": 0.2432,
|
| 604 |
+
"step": 850
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 2.496088524069749,
|
| 608 |
+
"grad_norm": 28.527973175048828,
|
| 609 |
+
"learning_rate": 2.1329365055363595e-05,
|
| 610 |
+
"loss": 0.2428,
|
| 611 |
+
"step": 860
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 2.5251128092333506,
|
| 615 |
+
"grad_norm": 28.3017578125,
|
| 616 |
+
"learning_rate": 1.89734888539916e-05,
|
| 617 |
+
"loss": 0.2457,
|
| 618 |
+
"step": 870
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 2.5541370943969524,
|
| 622 |
+
"grad_norm": 27.692001342773438,
|
| 623 |
+
"learning_rate": 1.674666179400504e-05,
|
| 624 |
+
"loss": 0.2409,
|
| 625 |
+
"step": 880
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 2.583161379560554,
|
| 629 |
+
"grad_norm": 30.592241287231445,
|
| 630 |
+
"learning_rate": 1.4651077096589486e-05,
|
| 631 |
+
"loss": 0.2371,
|
| 632 |
+
"step": 890
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.612185664724156,
|
| 636 |
+
"grad_norm": 26.051584243774414,
|
| 637 |
+
"learning_rate": 1.2688798721195053e-05,
|
| 638 |
+
"loss": 0.2389,
|
| 639 |
+
"step": 900
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.6412099498877577,
|
| 643 |
+
"grad_norm": 28.38836097717285,
|
| 644 |
+
"learning_rate": 1.086175933272514e-05,
|
| 645 |
+
"loss": 0.2407,
|
| 646 |
+
"step": 910
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 2.6702342350513595,
|
| 650 |
+
"grad_norm": 27.81374740600586,
|
| 651 |
+
"learning_rate": 9.171758398038015e-06,
|
| 652 |
+
"loss": 0.2389,
|
| 653 |
+
"step": 920
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 2.6992585202149613,
|
| 657 |
+
"grad_norm": 27.540956497192383,
|
| 658 |
+
"learning_rate": 7.620460413636342e-06,
|
| 659 |
+
"loss": 0.2453,
|
| 660 |
+
"step": 930
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 2.728282805378563,
|
| 664 |
+
"grad_norm": 27.374300003051758,
|
| 665 |
+
"learning_rate": 6.209393266290291e-06,
|
| 666 |
+
"loss": 0.234,
|
| 667 |
+
"step": 940
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 2.757307090542165,
|
| 671 |
+
"grad_norm": 29.071474075317383,
|
| 672 |
+
"learning_rate": 4.939946728208627e-06,
|
| 673 |
+
"loss": 0.2406,
|
| 674 |
+
"step": 950
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 2.786331375705766,
|
| 678 |
+
"grad_norm": 25.93909454345703,
|
| 679 |
+
"learning_rate": 3.813371088240086e-06,
|
| 680 |
+
"loss": 0.231,
|
| 681 |
+
"step": 960
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 2.815355660869368,
|
| 685 |
+
"grad_norm": 28.83918571472168,
|
| 686 |
+
"learning_rate": 2.830775920453093e-06,
|
| 687 |
+
"loss": 0.2303,
|
| 688 |
+
"step": 970
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 2.8443799460329697,
|
| 692 |
+
"grad_norm": 28.06920623779297,
|
| 693 |
+
"learning_rate": 1.9931289913066694e-06,
|
| 694 |
+
"loss": 0.2339,
|
| 695 |
+
"step": 980
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 2.8734042311965715,
|
| 699 |
+
"grad_norm": 28.357439041137695,
|
| 700 |
+
"learning_rate": 1.3012553064889631e-06,
|
| 701 |
+
"loss": 0.2325,
|
| 702 |
+
"step": 990
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 2.9024285163601733,
|
| 706 |
+
"grad_norm": 25.29115104675293,
|
| 707 |
+
"learning_rate": 7.558362983619448e-07,
|
| 708 |
+
"loss": 0.2374,
|
| 709 |
+
"step": 1000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 2.931452801523775,
|
| 713 |
+
"grad_norm": 27.02465057373047,
|
| 714 |
+
"learning_rate": 3.57409154812871e-07,
|
| 715 |
+
"loss": 0.2307,
|
| 716 |
+
"step": 1010
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 2.960477086687377,
|
| 720 |
+
"grad_norm": 26.2918701171875,
|
| 721 |
+
"learning_rate": 1.0636629017320431e-07,
|
| 722 |
+
"loss": 0.232,
|
| 723 |
+
"step": 1020
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 2.989501371850978,
|
| 727 |
+
"grad_norm": 28.43804359436035,
|
| 728 |
+
"learning_rate": 2.9549587264754428e-09,
|
| 729 |
+
"loss": 0.2287,
|
| 730 |
+
"step": 1030
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 2.995306228883699,
|
| 734 |
+
"step": 1032,
|
| 735 |
+
"total_flos": 1.0711204212442399e+18,
|
| 736 |
+
"train_loss": 0.44727156865735385,
|
| 737 |
+
"train_runtime": 21178.1386,
|
| 738 |
+
"train_samples_per_second": 6.247,
|
| 739 |
+
"train_steps_per_second": 0.049
|
| 740 |
+
}
|
| 741 |
+
],
|
| 742 |
+
"logging_steps": 10,
|
| 743 |
+
"max_steps": 1032,
|
| 744 |
+
"num_input_tokens_seen": 0,
|
| 745 |
+
"num_train_epochs": 3,
|
| 746 |
+
"save_steps": 500,
|
| 747 |
+
"stateful_callbacks": {
|
| 748 |
+
"TrainerControl": {
|
| 749 |
+
"args": {
|
| 750 |
+
"should_epoch_stop": false,
|
| 751 |
+
"should_evaluate": false,
|
| 752 |
+
"should_log": false,
|
| 753 |
+
"should_save": true,
|
| 754 |
+
"should_training_stop": true
|
| 755 |
+
},
|
| 756 |
+
"attributes": {}
|
| 757 |
+
}
|
| 758 |
+
},
|
| 759 |
+
"total_flos": 1.0711204212442399e+18,
|
| 760 |
+
"train_batch_size": 1,
|
| 761 |
+
"trial_name": null,
|
| 762 |
+
"trial_params": null
|
| 763 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:804f05ea97d2034be9157aa51cb3e47c7cee4f13f448df7f3d75429daf246732
|
| 3 |
+
size 5304
|