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_0.2_training_data
+model-index:
+- name: purple-wintermute-0.2-7b
+  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-0.2-7b
+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_0.2_training_data
+    type: completion
+    field: text
+dataset_prepared_path: .axolotl_cache_data/wintermute_0.2
+shuffle_merged_datasets: true
+# dataset_exact_deduplication: true
+val_set_size: 0.005
+output_dir: ./../../outputs/purple-wintermute-0.2-7b
+push_dataset_to_hub: sumuks/purple_wintermute_0.2_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: 4
+micro_batch_size: 16
+eval_batch_size: 1
+num_epochs: 3
+learning_rate: 5e-5
+warmup_ratio: 0.05
+evals_per_epoch: 5
+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-0.2-7b
+deepspeed: deepspeed_configs/zero1.json
+```
+
+</details><br>
+
+# purple-wintermute-0.2-7b
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the sumuks/openreview_wintermute_0.2_training_data dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3961
+
+## 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: 16
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- total_eval_batch_size: 4
+- 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: 389
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0004 | 1    | 2.6905          |
+| 1.6977        | 0.2002 | 519  | 1.8454          |
+| 1.5955        | 0.4004 | 1038 | 1.7875          |
+| 1.4268        | 0.6006 | 1557 | 1.7164          |
+| 1.2613        | 0.8008 | 2076 | 1.6061          |
+| 1.1526        | 1.0012 | 2595 | 1.5174          |
+| 1.0637        | 1.2014 | 3114 | 1.4811          |
+| 1.0251        | 1.4015 | 3633 | 1.4466          |
+| 0.9791        | 1.6017 | 4152 | 1.4230          |
+| 0.9609        | 1.8019 | 4671 | 1.4072          |
+| 1.0291        | 2.0023 | 5190 | 1.3994          |
+| 0.917         | 2.2025 | 5709 | 1.4018          |
+| 0.9306        | 2.4027 | 6228 | 1.3995          |
+| 0.8935        | 2.6029 | 6747 | 1.3963          |
+| 0.9343        | 2.8031 | 7266 | 1.3961          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.5.1
+- Datasets 3.2.0
+- Tokenizers 0.21.0