metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: fineweb-distil-xlstm-v2
results: []
fineweb-distil-xlstm-v2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7909
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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_ratio: 0.1
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 13.9104 | 0.32 | 100 | 3.9522 |
| 13.4085 | 0.64 | 200 | 3.9021 |
| 13.2194 | 0.96 | 300 | 3.8344 |
| 12.158 | 1.2784 | 400 | 3.8544 |
| 12.0231 | 1.5984 | 500 | 3.8105 |
| 12.2142 | 1.9184 | 600 | 3.7909 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0