24/08/05 Train End Commit
Browse files- README.md +69 -8
- model.safetensors +1 -1
- optimizer.pt +1 -1
- pytorch_model.bin +3 -0
- scheduler.pt +1 -1
- trainer_state.json +1445 -5
README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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base_model: Jiayi-Pan/Tiny-Vicuna-1B
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tags:
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- generated_from_trainer
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model-index:
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- name: vicuna_1b_stage1
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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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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[<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/momorami-kaist/medusa_test/runs/ku8hga4l)
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# vicuna_1b_stage1
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This model is a fine-tuned version of [Jiayi-Pan/Tiny-Vicuna-1B](https://huggingface.co/Jiayi-Pan/Tiny-Vicuna-1B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9673
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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: 0.0005
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 40
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 3.3461 | 0.0170 | 40 | 3.5421 |
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| 3.2004 | 0.0340 | 80 | 3.1581 |
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| 3.0095 | 0.0510 | 120 | 3.0506 |
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| 2.714 | 0.0681 | 160 | 3.0168 |
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| 2.9508 | 0.0851 | 200 | 2.9764 |
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| 2.9774 | 0.1021 | 240 | 2.9598 |
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| 2.8688 | 0.1191 | 280 | 2.9551 |
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| 2.8195 | 0.1361 | 320 | 2.9420 |
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| 2.8471 | 0.1531 | 360 | 2.9328 |
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| 2.9252 | 0.1701 | 400 | 2.9673 |
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### Framework versions
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- Transformers 4.43.0
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- Pytorch 2.3.1
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- Datasets 2.15.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2897445048
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version https://git-lfs.github.com/spec/v1
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size 2897445048
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optimizer.pt
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pytorch_model.bin
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size 2897493098
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scheduler.pt
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size 1064
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trainer_state.json
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{
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"best_metric":
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"best_model_checkpoint": "./vicuna_1b_stage1/checkpoint-
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"epoch": 0.
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"eval_steps": 40,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 4.9,
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"eval_steps_per_second": 2.45,
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"step": 160
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