metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: Mistral_Sparse_refined_web_50p_2024-03-21
results: []
Mistral_Sparse_refined_web_50p_2024-03-21
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: 2.1773
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: 3
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- total_eval_batch_size: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 251
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.4177 | 0.0 | 25 | 2.6401 |
2.5407 | 0.01 | 50 | 2.5820 |
2.3887 | 0.01 | 75 | 2.5299 |
2.2849 | 0.01 | 100 | 2.4991 |
2.2042 | 0.01 | 125 | 2.4802 |
2.2574 | 0.02 | 150 | 2.4609 |
2.2353 | 0.02 | 175 | 2.4473 |
2.3355 | 0.02 | 200 | 2.4449 |
2.3044 | 0.03 | 225 | 2.4381 |
2.2664 | 0.03 | 250 | 2.4348 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0