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--- |
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library_name: peft |
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license: mit |
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base_model: EleutherAI/gpt-neo-125m |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: 19783dba-2611-430a-89e2-4d277105a2fb |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.1` |
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```yaml |
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adapter: lora |
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base_model: EleutherAI/gpt-neo-125m |
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bf16: true |
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chat_template: llama3 |
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dataset_prepared_path: null |
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datasets: |
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- data_files: |
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- 9400c082b072ce22_train_data.json |
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ds_type: json |
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format: custom |
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path: /workspace/input_data/9400c082b072ce22_train_data.json |
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type: |
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field_instruction: ja |
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field_output: en |
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format: '{instruction}' |
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no_input_format: '{instruction}' |
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system_format: '{system}' |
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system_prompt: '' |
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debug: null |
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deepspeed: null |
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early_stopping_patience: 4 |
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eval_max_new_tokens: 128 |
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eval_steps: 150 |
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eval_table_size: null |
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flash_attention: false |
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fp16: null |
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fsdp: null |
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fsdp_config: null |
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gradient_accumulation_steps: 4 |
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gradient_checkpointing: true |
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group_by_length: false |
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hub_model_id: Romain-XV/19783dba-2611-430a-89e2-4d277105a2fb |
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hub_repo: null |
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hub_strategy: checkpoint |
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hub_token: null |
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learning_rate: 0.0002 |
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load_best_model_at_end: true |
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load_in_4bit: true |
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load_in_8bit: false |
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local_rank: null |
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logging_steps: 1 |
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lora_alpha: 128 |
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lora_dropout: 0.3 |
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lora_fan_in_fan_out: null |
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lora_model_dir: null |
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lora_r: 64 |
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lora_target_linear: true |
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lora_target_modules: |
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- q_proj |
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- k_proj |
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lr_scheduler: cosine |
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max_grad_norm: 1.0 |
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max_steps: 9660 |
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micro_batch_size: 2 |
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mlflow_experiment_name: /tmp/9400c082b072ce22_train_data.json |
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model_type: AutoModelForCausalLM |
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num_epochs: 3 |
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optimizer: adamw_bnb_8bit |
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output_dir: miner_id_24 |
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pad_to_sequence_len: true |
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resume_from_checkpoint: null |
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s2_attention: null |
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sample_packing: false |
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save_steps: 150 |
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sequence_len: 1024 |
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special_tokens: |
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pad_token: <|endoftext|> |
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strict: false |
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tf32: true |
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tokenizer_type: AutoTokenizer |
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train_on_inputs: false |
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trust_remote_code: true |
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val_set_size: 0.03388084783433621 |
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wandb_entity: null |
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wandb_mode: online |
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wandb_name: 97f965f0-6c2c-4001-93f0-b3bd5a572767 |
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wandb_project: Gradients-On-Demand |
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wandb_run: your_name |
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wandb_runid: 97f965f0-6c2c-4001-93f0-b3bd5a572767 |
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warmup_steps: 10 |
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weight_decay: 0.0 |
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xformers_attention: null |
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``` |
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</details><br> |
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# 19783dba-2611-430a-89e2-4d277105a2fb |
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This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9652 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- training_steps: 9660 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 22.3081 | 0.0001 | 1 | 5.3931 | |
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| 12.1969 | 0.0084 | 150 | 3.0791 | |
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| 12.8922 | 0.0168 | 300 | 2.9534 | |
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| 12.5402 | 0.0252 | 450 | 2.8506 | |
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| 10.4376 | 0.0337 | 600 | 2.7774 | |
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| 9.6342 | 0.0421 | 750 | 2.7315 | |
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| 11.2411 | 0.0505 | 900 | 2.6845 | |
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| 12.9895 | 0.0589 | 1050 | 2.6467 | |
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| 12.0386 | 0.0673 | 1200 | 2.6053 | |
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| 11.1212 | 0.0757 | 1350 | 2.5762 | |
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| 9.9151 | 0.0842 | 1500 | 2.5369 | |
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| 11.2688 | 0.0926 | 1650 | 2.5001 | |
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| 10.0221 | 0.1010 | 1800 | 2.4761 | |
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| 10.3173 | 0.1094 | 1950 | 2.4375 | |
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| 10.428 | 0.1178 | 2100 | 2.4349 | |
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| 7.0369 | 0.1262 | 2250 | 2.3860 | |
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| 10.4659 | 0.1347 | 2400 | 2.3725 | |
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| 10.4187 | 0.1431 | 2550 | 2.3579 | |
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| 6.8085 | 0.1515 | 2700 | 2.3285 | |
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| 12.6518 | 0.1599 | 2850 | 2.3110 | |
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| 9.9324 | 0.1683 | 3000 | 2.2927 | |
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| 7.8111 | 0.1767 | 3150 | 2.2739 | |
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| 9.2326 | 0.1852 | 3300 | 2.2593 | |
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| 8.6382 | 0.1936 | 3450 | 2.2342 | |
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| 8.518 | 0.2020 | 3600 | 2.2290 | |
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| 6.4198 | 0.2104 | 3750 | 2.2118 | |
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| 9.0537 | 0.2188 | 3900 | 2.2064 | |
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| 6.6054 | 0.2272 | 4050 | 2.1808 | |
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| 8.1502 | 0.2357 | 4200 | 2.1758 | |
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| 7.229 | 0.2441 | 4350 | 2.1579 | |
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| 7.0952 | 0.2525 | 4500 | 2.1411 | |
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| 7.7773 | 0.2609 | 4650 | 2.1294 | |
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| 9.354 | 0.2693 | 4800 | 2.1157 | |
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| 9.6896 | 0.2777 | 4950 | 2.1120 | |
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| 9.817 | 0.2862 | 5100 | 2.0999 | |
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| 9.7308 | 0.2946 | 5250 | 2.0837 | |
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| 7.0272 | 0.3030 | 5400 | 2.0796 | |
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| 9.446 | 0.3114 | 5550 | 2.0694 | |
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| 9.1402 | 0.3198 | 5700 | 2.0556 | |
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| 7.8589 | 0.3282 | 5850 | 2.0542 | |
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| 8.3354 | 0.3367 | 6000 | 2.0445 | |
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| 8.081 | 0.3451 | 6150 | 2.0343 | |
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| 6.7192 | 0.3535 | 6300 | 2.0259 | |
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| 10.2732 | 0.3619 | 6450 | 2.0235 | |
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| 9.3245 | 0.3703 | 6600 | 2.0137 | |
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| 8.6904 | 0.3787 | 6750 | 2.0092 | |
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| 6.4253 | 0.3872 | 6900 | 2.0042 | |
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| 8.0254 | 0.3956 | 7050 | 1.9975 | |
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| 10.3048 | 0.4040 | 7200 | 1.9963 | |
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| 9.2663 | 0.4124 | 7350 | 1.9909 | |
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| 8.596 | 0.4208 | 7500 | 1.9860 | |
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| 9.4026 | 0.4292 | 7650 | 1.9820 | |
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| 7.5361 | 0.4377 | 7800 | 1.9791 | |
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| 10.1732 | 0.4461 | 7950 | 1.9773 | |
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| 9.5052 | 0.4545 | 8100 | 1.9737 | |
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| 9.1775 | 0.4629 | 8250 | 1.9720 | |
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| 5.179 | 0.4713 | 8400 | 1.9702 | |
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| 6.0604 | 0.4797 | 8550 | 1.9688 | |
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| 7.6645 | 0.4882 | 8700 | 1.9676 | |
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| 6.7768 | 0.4966 | 8850 | 1.9666 | |
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| 8.6168 | 0.5050 | 9000 | 1.9657 | |
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| 9.4105 | 0.5134 | 9150 | 1.9658 | |
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| 8.4106 | 0.5218 | 9300 | 1.9655 | |
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| 5.5724 | 0.5302 | 9450 | 1.9654 | |
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| 5.8533 | 0.5387 | 9600 | 1.9652 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.0 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
