romainnn commited on
Commit
fa69f9b
·
verified ·
1 Parent(s): 3e5bd3f

End of training

Browse files
Files changed (3) hide show
  1. README.md +155 -0
  2. adapter_model.bin +3 -0
  3. adapter_model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ license: mit
4
+ base_model: fxmarty/really-tiny-falcon-testing
5
+ tags:
6
+ - axolotl
7
+ - generated_from_trainer
8
+ model-index:
9
+ - name: 85005aa6-2c47-4218-91f3-c7f28ce62e3f
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
17
+ <details><summary>See axolotl config</summary>
18
+
19
+ axolotl version: `0.4.1`
20
+ ```yaml
21
+ adapter: lora
22
+ base_model: fxmarty/really-tiny-falcon-testing
23
+ bf16: true
24
+ chat_template: llama3
25
+ dataset_prepared_path: null
26
+ datasets:
27
+ - data_files:
28
+ - 9c10a89811b30861_train_data.json
29
+ ds_type: json
30
+ format: custom
31
+ path: /workspace/input_data/9c10a89811b30861_train_data.json
32
+ type:
33
+ field_instruction: text
34
+ field_output: transcription_normalised
35
+ format: '{instruction}'
36
+ no_input_format: '{instruction}'
37
+ system_format: '{system}'
38
+ system_prompt: ''
39
+ debug: null
40
+ deepspeed: null
41
+ early_stopping_patience: 2
42
+ eval_max_new_tokens: 128
43
+ eval_steps: 100
44
+ eval_table_size: null
45
+ flash_attention: false
46
+ fp16: null
47
+ fsdp: null
48
+ fsdp_config: null
49
+ gradient_accumulation_steps: 8
50
+ gradient_checkpointing: true
51
+ group_by_length: false
52
+ hub_model_id: romainnn/85005aa6-2c47-4218-91f3-c7f28ce62e3f
53
+ hub_repo: null
54
+ hub_strategy: checkpoint
55
+ hub_token: null
56
+ learning_rate: 0.0002
57
+ load_best_model_at_end: true
58
+ load_in_4bit: false
59
+ load_in_8bit: false
60
+ local_rank: null
61
+ logging_steps: 1
62
+ lora_alpha: 32
63
+ lora_dropout: 0.05
64
+ lora_fan_in_fan_out: null
65
+ lora_model_dir: null
66
+ lora_r: 16
67
+ lora_target_linear: true
68
+ lora_target_modules:
69
+ - q_proj
70
+ - k_proj
71
+ - v_proj
72
+ - o_proj
73
+ lr_scheduler: cosine
74
+ max_steps: 1440
75
+ micro_batch_size: 4
76
+ mlflow_experiment_name: /tmp/9c10a89811b30861_train_data.json
77
+ model_type: AutoModelForCausalLM
78
+ num_epochs: 1
79
+ optimizer: adamw_bnb_8bit
80
+ output_dir: miner_id_24
81
+ pad_to_sequence_len: true
82
+ resume_from_checkpoint: null
83
+ s2_attention: null
84
+ sample_packing: false
85
+ save_steps: 100
86
+ sequence_len: 2048
87
+ strict: false
88
+ tf32: true
89
+ tokenizer_type: AutoTokenizer
90
+ train_on_inputs: false
91
+ trust_remote_code: true
92
+ val_set_size: 0.05
93
+ wandb_entity: null
94
+ wandb_mode: online
95
+ wandb_name: 342b5602-9c6d-47e4-b447-2501ef4a1695
96
+ wandb_project: Gradients-On-Demand
97
+ wandb_run: your_name
98
+ wandb_runid: 342b5602-9c6d-47e4-b447-2501ef4a1695
99
+ warmup_steps: 10
100
+ weight_decay: 0.0
101
+ xformers_attention: null
102
+
103
+ ```
104
+
105
+ </details><br>
106
+
107
+ # 85005aa6-2c47-4218-91f3-c7f28ce62e3f
108
+
109
+ This model is a fine-tuned version of [fxmarty/really-tiny-falcon-testing](https://huggingface.co/fxmarty/really-tiny-falcon-testing) on the None dataset.
110
+ It achieves the following results on the evaluation set:
111
+ - Loss: 11.0118
112
+
113
+ ## Model description
114
+
115
+ More information needed
116
+
117
+ ## Intended uses & limitations
118
+
119
+ More information needed
120
+
121
+ ## Training and evaluation data
122
+
123
+ More information needed
124
+
125
+ ## Training procedure
126
+
127
+ ### Training hyperparameters
128
+
129
+ The following hyperparameters were used during training:
130
+ - learning_rate: 0.0002
131
+ - train_batch_size: 4
132
+ - eval_batch_size: 4
133
+ - seed: 42
134
+ - gradient_accumulation_steps: 8
135
+ - total_train_batch_size: 32
136
+ - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
137
+ - lr_scheduler_type: cosine
138
+ - lr_scheduler_warmup_steps: 10
139
+ - training_steps: 113
140
+
141
+ ### Training results
142
+
143
+ | Training Loss | Epoch | Step | Validation Loss |
144
+ |:-------------:|:------:|:----:|:---------------:|
145
+ | 88.7471 | 0.0089 | 1 | 11.0899 |
146
+ | 88.0937 | 0.8859 | 100 | 11.0118 |
147
+
148
+
149
+ ### Framework versions
150
+
151
+ - PEFT 0.13.2
152
+ - Transformers 4.46.0
153
+ - Pytorch 2.5.0+cu124
154
+ - Datasets 3.0.1
155
+ - Tokenizers 0.20.1
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec70d33f04193cfc09d0d43ee21e9036ab821f97ad73b410a4ed0eb921449715
3
+ size 67742
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5692f34c97b1100d6c75723da71e2b0f079d9b91e8a95fe6f494f4b63f6a10d6
3
  size 63592
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b6b787b9f89d02f7dc3b19bedf8767e6c4968a519b508b2c87dad6d80083b1ca
3
  size 63592