metadata
library_name: transformers
base_model: Ellio98/mistral-0.5B-base
tags:
- generated_from_trainer
model-index:
- name: mistral-0.5B-Instruct-v0.1
results: []
mistral-0.5B-Instruct-v0.1
This model is a fine-tuned version of Ellio98/mistral-0.5B-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 0.1000 | 125 | nan |
| 0.0 | 0.2000 | 250 | nan |
| 0.0 | 0.2999 | 375 | nan |
| 0.0 | 0.3999 | 500 | nan |
| 0.0 | 0.4999 | 625 | nan |
| 0.0 | 0.5999 | 750 | nan |
| 0.0 | 0.6999 | 875 | nan |
| 0.0 | 0.7998 | 1000 | nan |
| 0.0 | 0.8998 | 1125 | nan |
| 0.0 | 0.9998 | 1250 | nan |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0