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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: Qwen/Qwen2.5-0.5B |
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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: a7f83208-aa47-4ecd-80e6-f21bda70bb90 |
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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: Qwen/Qwen2.5-0.5B |
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batch_size: 8 |
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bf16: true |
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chat_template: tokenizer_default_fallback_alpaca |
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datasets: |
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- data_files: |
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- 44664facd5408a4c_train_data.json |
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ds_type: json |
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format: custom |
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path: /workspace/input_data/44664facd5408a4c_train_data.json |
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type: |
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field_input: choices |
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field_instruction: full_prompt |
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field_output: example |
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format: '{instruction} {input}' |
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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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evals_per_epoch: 1 |
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flash_attention: true |
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gpu_memory_limit: 80GiB |
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gradient_checkpointing: true |
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group_by_length: true |
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hub_model_id: willtensora/a7f83208-aa47-4ecd-80e6-f21bda70bb90 |
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hub_strategy: checkpoint |
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learning_rate: 0.0002 |
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logging_steps: 10 |
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lora_alpha: 256 |
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lora_dropout: 0.1 |
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lora_r: 128 |
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lora_target_linear: true |
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lr_scheduler: cosine |
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micro_batch_size: 1 |
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model_type: AutoModelForCausalLM |
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num_epochs: 100 |
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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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resize_token_embeddings_to_32x: false |
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sample_packing: false |
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saves_per_epoch: 2 |
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sequence_len: 2048 |
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tokenizer_type: Qwen2TokenizerFast |
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train_on_inputs: false |
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trust_remote_code: true |
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val_set_size: 0.1 |
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wandb_entity: '' |
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wandb_mode: online |
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wandb_project: Gradients-On-Demand |
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wandb_run: your_name |
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wandb_runid: default |
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warmup_ratio: 0.05 |
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xformers_attention: true |
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``` |
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</details><br> |
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# a7f83208-aa47-4ecd-80e6-f21bda70bb90 |
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 8 |
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- total_eval_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: 24 |
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- num_epochs: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.025 | 1 | 0.9385 | |
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| 0.0292 | 1.0 | 40 | 0.0043 | |
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| 0.0148 | 2.0 | 80 | 0.0332 | |
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| 0.1015 | 3.0 | 120 | 0.0044 | |
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| 0.0002 | 4.0 | 160 | 0.0001 | |
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| 0.0 | 5.0 | 200 | 0.0000 | |
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| 0.0 | 6.0 | 240 | 0.0000 | |
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| 0.0 | 7.0 | 280 | 0.0000 | |
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| 0.0 | 8.0 | 320 | 0.0000 | |
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| 0.0 | 9.0 | 360 | 0.0000 | |
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| 0.0 | 10.0 | 400 | 0.0000 | |
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| 0.0 | 11.0 | 440 | 0.0000 | |
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| 0.0 | 12.0 | 480 | 0.0000 | |
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| 0.0 | 13.0 | 520 | 0.0000 | |
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| 0.0 | 14.0 | 560 | 0.0000 | |
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| 0.0 | 15.0 | 600 | 0.0000 | |
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| 0.0 | 16.0 | 640 | 0.0000 | |
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| 0.0 | 17.0 | 680 | 0.0000 | |
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| 0.0 | 18.0 | 720 | 0.0000 | |
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| 0.0 | 19.0 | 760 | 0.0000 | |
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| 0.0 | 20.0 | 800 | 0.0000 | |
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| 0.0 | 21.0 | 840 | 0.0000 | |
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| 0.0 | 22.0 | 880 | 0.0000 | |
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| 0.0 | 23.0 | 920 | 0.0000 | |
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| 0.0 | 24.0 | 960 | 0.0000 | |
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| 0.0 | 25.0 | 1000 | 0.0000 | |
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| 0.0 | 26.0 | 1040 | 0.0000 | |
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| 0.0 | 27.0 | 1080 | 0.0000 | |
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| 0.0 | 28.0 | 1120 | 0.0000 | |
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| 0.0 | 29.0 | 1160 | 0.0000 | |
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| 0.0 | 30.0 | 1200 | 0.0000 | |
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| 0.0 | 31.0 | 1240 | 0.0000 | |
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| 0.0 | 32.0 | 1280 | 0.0000 | |
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| 0.0 | 33.0 | 1320 | 0.0000 | |
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| 0.0 | 34.0 | 1360 | 0.0000 | |
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| 0.0 | 35.0 | 1400 | 0.0000 | |
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| 0.0 | 36.0 | 1440 | 0.0000 | |
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| 0.0 | 37.0 | 1480 | 0.0000 | |
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| 0.0 | 38.0 | 1520 | 0.0000 | |
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| 0.0 | 39.0 | 1560 | 0.0000 | |
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| 0.0 | 40.0 | 1600 | 0.0000 | |
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| 0.0 | 41.0 | 1640 | 0.0000 | |
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| 0.0 | 42.0 | 1680 | 0.0000 | |
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| 0.0 | 43.0 | 1720 | 0.0000 | |
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| 0.0 | 44.0 | 1760 | 0.0000 | |
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| 0.0 | 45.0 | 1800 | 0.0000 | |
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| 0.0 | 46.0 | 1840 | 0.0000 | |
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| 0.0 | 47.0 | 1880 | 0.0000 | |
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| 0.0 | 48.0 | 1920 | 0.0000 | |
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| 0.0 | 49.0 | 1960 | 0.0000 | |
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| 0.0 | 50.0 | 2000 | 0.0000 | |
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| 0.0 | 51.0 | 2040 | 0.0000 | |
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| 0.0 | 52.0 | 2080 | 0.0000 | |
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| 0.0 | 53.0 | 2120 | 0.0000 | |
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| 0.0 | 54.0 | 2160 | 0.0000 | |
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| 0.0 | 55.0 | 2200 | 0.0000 | |
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| 0.0 | 56.0 | 2240 | 0.0000 | |
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| 0.0 | 57.0 | 2280 | 0.0000 | |
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| 0.0 | 58.0 | 2320 | 0.0000 | |
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| 0.0 | 59.0 | 2360 | 0.0000 | |
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| 0.0 | 60.0 | 2400 | 0.0000 | |
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| 0.0 | 61.0 | 2440 | 0.0000 | |
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| 0.0 | 62.0 | 2480 | 0.0000 | |
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| 0.0 | 63.0 | 2520 | 0.0000 | |
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| 0.0 | 64.0 | 2560 | 0.0000 | |
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| 0.0 | 65.0 | 2600 | 0.0000 | |
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| 0.0 | 66.0 | 2640 | 0.0000 | |
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| 0.0 | 67.0 | 2680 | 0.0000 | |
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| 0.0 | 68.0 | 2720 | 0.0000 | |
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| 0.0 | 69.0 | 2760 | 0.0000 | |
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| 0.0 | 70.0 | 2800 | 0.0000 | |
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| 0.0 | 71.0 | 2840 | 0.0000 | |
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| 0.0 | 72.0 | 2880 | 0.0000 | |
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| 0.0 | 73.0 | 2920 | 0.0000 | |
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| 0.0 | 74.0 | 2960 | 0.0000 | |
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| 0.0 | 75.0 | 3000 | 0.0000 | |
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| 0.0 | 76.0 | 3040 | 0.0000 | |
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| 0.0 | 77.0 | 3080 | 0.0000 | |
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| 0.0 | 78.0 | 3120 | 0.0000 | |
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| 0.0 | 79.0 | 3160 | 0.0000 | |
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| 0.0 | 80.0 | 3200 | 0.0000 | |
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| 0.0 | 81.0 | 3240 | 0.0000 | |
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| 0.0 | 82.0 | 3280 | 0.0000 | |
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| 0.0 | 83.0 | 3320 | 0.0000 | |
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| 0.0 | 84.0 | 3360 | 0.0000 | |
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| 0.0 | 85.0 | 3400 | 0.0000 | |
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| 0.0 | 86.0 | 3440 | 0.0000 | |
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| 0.0 | 87.0 | 3480 | 0.0000 | |
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| 0.0 | 88.0 | 3520 | 0.0000 | |
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| 0.0 | 89.0 | 3560 | 0.0000 | |
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| 0.0 | 90.0 | 3600 | 0.0000 | |
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| 0.0 | 91.0 | 3640 | 0.0000 | |
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| 0.0 | 92.0 | 3680 | 0.0000 | |
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| 0.0 | 93.0 | 3720 | 0.0000 | |
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| 0.0 | 94.0 | 3760 | 0.0000 | |
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| 0.0 | 95.0 | 3800 | 0.0000 | |
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| 0.0 | 96.0 | 3840 | 0.0000 | |
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| 0.0 | 97.0 | 3880 | 0.0000 | |
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| 0.0 | 98.0 | 3920 | 0.0000 | |
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| 0.0 | 99.0 | 3960 | 0.0000 | |
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| 0.0 | 100.0 | 4000 | 0.0000 | |
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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 |
