---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: checkpoints
  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. -->

# checkpoints

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: 4.2456

## 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: 0.0003
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 96
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 2000
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 7.4032        | 0.0845 | 500   | 7.3898          |
| 6.6372        | 0.1689 | 1000  | 6.6140          |
| 6.0337        | 0.2534 | 1500  | 6.0218          |
| 5.4855        | 0.3379 | 2000  | 5.4488          |
| 5.1721        | 0.4224 | 2500  | 5.1130          |
| 4.9505        | 0.5068 | 3000  | 4.9257          |
| 4.8270        | 0.5913 | 3500  | 4.7984          |
| 4.7426        | 0.6758 | 4000  | 4.7051          |
| 4.6787        | 0.7603 | 4500  | 4.6291          |
| 4.6144        | 0.8447 | 5000  | 4.5660          |
| 4.5467        | 0.9292 | 5500  | 4.5108          |
| 4.4913        | 1.0137 | 6000  | 4.4702          |
| 4.4524        | 1.0982 | 6500  | 4.4297          |
| 4.3943        | 1.1826 | 7000  | 4.3960          |
| 4.4030        | 1.2671 | 7500  | 4.3625          |
| 4.4039        | 1.3516 | 8000  | 4.3367          |
| 4.3564        | 1.4361 | 8500  | 4.3136          |
| 4.3499        | 1.5205 | 9000  | 4.2927          |
| 4.3203        | 1.6050 | 9500  | 4.2759          |
| 4.3136        | 1.6895 | 10000 | 4.2620          |
| 4.3009        | 1.7739 | 10500 | 4.2538          |
| 4.2919        | 1.8584 | 11000 | 4.2478          |
| 4.2787        | 1.9429 | 11500 | 4.2456          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.8.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2