---
tags:
- generated_from_trainer
model-index:
- name: model_xl
  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. -->

# model_xl

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0306

## 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: 0.0001
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- training_steps: 0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.6465        | 0.11  | 2000  | 2.3854          |
| 1.5576        | 0.22  | 4000  | 1.4934          |
| 1.3344        | 0.33  | 6000  | 1.2809          |
| 1.2192        | 0.43  | 8000  | 1.1750          |
| 1.1604        | 0.54  | 10000 | 1.1104          |
| 1.108         | 0.65  | 12000 | 1.0707          |
| 1.0949        | 0.76  | 14000 | 1.0461          |
| 1.0759        | 0.87  | 16000 | 1.0332          |
| 1.0622        | 0.98  | 18000 | 1.0306          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1