metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: Mistral_Sparse_refined_web_resilu_2024-03-13
results: []
Mistral_Sparse_refined_web_resilu_2024-03-13
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: 2.6723
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: 1
- seed: 0
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 350
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.8267 | 0.0 | 25 | 8.7790 |
| 8.3017 | 0.01 | 50 | 8.3269 |
| 7.8921 | 0.01 | 75 | 7.9440 |
| 7.6064 | 0.02 | 100 | 7.6915 |
| 7.4736 | 0.02 | 125 | 7.5597 |
| 7.0663 | 0.02 | 150 | 6.8821 |
| 4.695 | 0.03 | 175 | 4.5616 |
| 3.6054 | 0.03 | 200 | 3.7193 |
| 3.2379 | 0.04 | 225 | 3.3697 |
| 3.0502 | 0.04 | 250 | 3.1769 |
| 2.8841 | 0.04 | 275 | 3.0628 |
| 2.8355 | 0.05 | 300 | 2.9948 |
| 2.7938 | 0.05 | 325 | 2.9511 |
| 2.5994 | 0.06 | 350 | 2.9099 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0