metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: sparse_mistral_7b_refined_web_50p_2024-05-11
results: []
sparse_mistral_7b_refined_web_50p_2024-05-11
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2258
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: 4
- seed: 0
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 275
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3307 | 0.0 | 25 | 2.4048 |
| 2.2364 | 0.0 | 50 | 2.3533 |
| 2.2723 | 0.01 | 75 | 2.3099 |
| 2.1585 | 0.01 | 100 | 2.2884 |
| 2.2562 | 0.01 | 125 | 2.2787 |
| 2.4057 | 0.01 | 150 | 2.2709 |
| 2.3147 | 0.01 | 175 | 2.2635 |
| 2.2796 | 0.02 | 200 | 2.2600 |
| 2.2157 | 0.02 | 225 | 2.2557 |
| 2.303 | 0.02 | 250 | 2.2542 |
| 2.0701 | 0.02 | 275 | 2.2511 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2