End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- medalpaca/medical_meadow_medqa
+model-index:
+- name: sft-qwen-25-7b-instruct
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<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)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.6.0`
+```yaml
+base_model: Qwen/Qwen2.5-7B-Instruct
+trust_remote_code: true
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: 
+load_in_4bit:
+strict: false
+
+datasets:
+  - path: medalpaca/medical_meadow_medqa
+    type: alpaca
+dataset_prepared_path:
+val_set_size: 0.1
+output_dir: ./sft-qwen25
+
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+
+
+wandb_project: sft-qwen-25-7b-instruct
+wandb_entity: 
+wandb_watch:
+wandb_name: 
+wandb_log_model: 
+
+gradient_accumulation_steps: 1
+micro_batch_size: 1
+num_epochs: 1
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 0.00001
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+  
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps:
+eval_steps: 10
+save_steps: 40
+
+evals_per_epoch: 
+saves_per_epoch: 
+
+debug:
+deepspeed: deepspeed_configs/zero2.json
+weight_decay:
+fsdp:
+fsdp_config:
+special_tokens:
+
+hub_model_id: neginashz/sft-qwen-25-7b-instruct
+hub_strategy: all_checkpoints
+early_stopping_patience: 3
+
+auto_resume_from_checkpoints: true
+
+
+
+```
+
+</details><br>
+
+# sft-qwen-25-7b-instruct
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the medalpaca/medical_meadow_medqa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1055
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 4
+- total_eval_batch_size: 4
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.1381        | 0.1235 | 10   | 0.1342          |
+| 0.1495        | 0.2469 | 20   | 0.1229          |
+| 0.1215        | 0.3704 | 30   | 0.1246          |
+| 0.1354        | 0.4938 | 40   | 0.1175          |
+| 0.1223        | 0.6173 | 50   | 0.1115          |
+| 0.1068        | 0.7407 | 60   | 0.1101          |
+| 0.1061        | 0.8642 | 70   | 0.1056          |
+| 0.118         | 0.9877 | 80   | 0.1055          |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.47.0"
+}

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