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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: fixed-distil-xlstm
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fixed-distil-xlstm
This model is a fine-tuned version of [](https://huggingface.co./) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4315
## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 12.3423 | 0.32 | 100 | 3.5629 |
| 12.2017 | 0.64 | 200 | 3.5453 |
| 12.1637 | 0.96 | 300 | 3.4930 |
| 11.3792 | 1.2784 | 400 | 3.4661 |
| 11.4163 | 1.5984 | 500 | 3.4403 |
| 11.5901 | 1.9184 | 600 | 3.4315 |
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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