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: 2.2460
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: 150
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.371 | 0.0 | 25 | 2.4047 |
| 2.3752 | 0.0 | 50 | 2.3514 |
| 2.1274 | 0.01 | 75 | 2.3093 |
| 2.2099 | 0.01 | 100 | 2.2887 |
| 2.5167 | 0.01 | 125 | 2.2791 |
| 2.3594 | 0.01 | 150 | 2.2683 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2