End of training

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2-0.5B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: Qwen2-0.5B-Abyme
+  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: `0.4.1`
+```yaml
+adapter: null
+base_model: Qwen/Qwen2-0.5B
+bf16: auto
+chat_template: chatml
+dataset_prepared_path: ./data/last_run_prepared
+datasets:
+- path: Magpie-Align/Magpie-Qwen2-Pro-300K-Filtered
+  type: sharegpt
+deepspeed: null
+early_stopping_patience: null
+eval_sample_packing: true
+evals_per_epoch: 4
+flash_attention: true
+fp16: null
+fsdp: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+group_by_length: false
+hf_use_auth_token: true
+hub_model_id: CoolSpring/Qwen2-0.5B-Abyme
+learning_rate: 2e-5
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lr_scheduler: cosine
+micro_batch_size: 4
+num_epochs: 1
+optimizer: adamw_torch
+output_dir: ./outputs/out
+pad_to_sequence_len: true
+resize_token_embeddings_to_32x: true
+resume_from_checkpoint: null
+sample_packing: true
+saves_per_epoch: 1
+sequence_len: 4096
+tf32: true
+tokens:
+- <|im_start|>
+- <|im_end|>
+train_on_inputs: false
+val_set_size: 0.05
+wandb_entity: null
+wandb_log_model: null
+wandb_name: Qwen2-0.5B-Abyme
+wandb_project: Qwen2-0.5B-Magpie-Qwen2-Pro-300K-Filtered
+wandb_watch: null
+warmup_steps: 100
+weight_decay: null
+xformers_attention: null
+
+```
+
+</details><br>
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/coolspring-none/Qwen2-0.5B-Magpie-Qwen2-Pro-300K-Filtered/runs/qcne24ii)
+# Qwen2-0.5B-Abyme
+
+This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8229
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9947        | 0.0004 | 1    | 0.9683          |
+| 0.8385        | 0.2501 | 597  | 0.8338          |
+| 0.7636        | 0.5002 | 1194 | 0.8249          |
+| 0.8124        | 0.7502 | 1791 | 0.8229          |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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