End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- sumuks/openreview_wintermute_0.1_training_data
+model-index:
+- name: purple-wintermute-0.1-7b
+  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
+hub_model_id: sumuks/purple-wintermute-0.1-7b
+trust_remote_code: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+bf16: true
+hf_use_auth_token: true
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_layer_norm: true
+liger_fused_linear_cross_entropy: true
+save_safetensors:
+
+datasets:
+  - path: sumuks/openreview_wintermute_0.1_training_data
+    type: completion
+    field: text
+dataset_prepared_path: .axolotl_cache_data/wintermute_0.1
+shuffle_merged_datasets: true
+# dataset_exact_deduplication: true
+val_set_size: 0.005
+output_dir: ./../../outputs/purple-wintermute-0.1-7b
+push_dataset_to_hub: sumuks/purple_wintermute_0.1_training_data_in_progress
+
+sequence_length: 2048
+sample_packing: true
+pad_to_sequence_len: true
+
+adapter: lora
+lora_r: 256
+lora_alpha: 32
+lora_dropout: 0.05
+peft_use_rslora: true
+lora_target_linear: true
+
+gradient_accumulation_steps: 1
+micro_batch_size: 32
+eval_batch_size: 1
+num_epochs: 3
+learning_rate: 5e-5
+warmup_ratio: 0.05
+evals_per_epoch: 10
+saves_per_epoch: 5
+gradient_checkpointing: true
+lr_scheduler: cosine
+optimizer: paged_adamw_8bit
+
+profiler_steps: 100
+save_safetensors: true
+train_on_inputs: true
+wandb_project: wintermute 
+wandb_name: purple-wintermute-0.1-7b
+deepspeed: deepspeed_configs/zero1.json
+```
+
+</details><br>
+
+# purple-wintermute-0.1-7b
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the sumuks/openreview_wintermute_0.1_training_data dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4027
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 256
+- total_eval_batch_size: 8
+- optimizer: Use paged_adamw_8bit 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: 386
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.8108        | 0.1002 | 258  | 1.9127          |
+| 1.6982        | 0.2004 | 516  | 1.8592          |
+| 1.663         | 0.3006 | 774  | 1.8258          |
+| 1.585         | 0.4008 | 1032 | 1.7978          |
+| 1.5201        | 0.5010 | 1290 | 1.7578          |
+| 1.4313        | 0.6012 | 1548 | 1.7181          |
+| 1.3256        | 0.7014 | 1806 | 1.6692          |
+| 1.2364        | 0.8016 | 2064 | 1.6194          |
+| 1.161         | 0.9017 | 2322 | 1.5741          |
+| 1.1284        | 1.0016 | 2580 | 1.5281          |
+| 1.0433        | 1.1017 | 2838 | 1.4999          |
+| 1.0058        | 1.2019 | 3096 | 1.4770          |
+| 1.0179        | 1.3021 | 3354 | 1.4603          |
+| 0.9993        | 1.4023 | 3612 | 1.4409          |
+| 0.99          | 1.5025 | 3870 | 1.4319          |
+| 0.9971        | 1.6027 | 4128 | 1.4222          |
+| 0.9626        | 1.7029 | 4386 | 1.4126          |
+| 0.9396        | 1.8031 | 4644 | 1.4083          |
+| 0.9497        | 1.9033 | 4902 | 1.4041          |
+| 0.901         | 2.0031 | 5160 | 1.4068          |
+| 0.9222        | 2.1033 | 5418 | 1.4081          |
+| 0.8882        | 2.2035 | 5676 | 1.4060          |
+| 0.9253        | 2.3037 | 5934 | 1.4043          |
+| 0.8687        | 2.4039 | 6192 | 1.4035          |
+| 0.9058        | 2.5041 | 6450 | 1.4025          |
+| 0.8624        | 2.6043 | 6708 | 1.4033          |
+| 0.8928        | 2.7045 | 6966 | 1.4028          |
+| 0.874         | 2.8047 | 7224 | 1.4029          |
+| 0.8892        | 2.9049 | 7482 | 1.4027          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.48.0
+- Pytorch 2.5.1
+- Datasets 3.1.0
+- Tokenizers 0.21.0