metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: Mistral_Sparse_refined_web_graceful_reg_90p_2024-03-13
results: []
Mistral_Sparse_refined_web_graceful_reg_90p_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: 9.8327
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: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7951 | 0.0 | 25 | 2.4027 |
| 3.642 | 0.01 | 50 | 2.3900 |
| 3.6958 | 0.01 | 75 | 2.3846 |
| 3.5839 | 0.02 | 100 | 2.3938 |
| 3.5473 | 0.02 | 125 | 2.4562 |
| 3.5564 | 0.02 | 150 | 2.5087 |
| 3.4657 | 0.03 | 175 | 2.5109 |
| 3.4677 | 0.03 | 200 | 2.5261 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0