---
tags:
- generated_from_trainer
model-index:
- name: results_model8_new
  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. -->

# results_model8_new

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: 5.8002

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step   | Validation Loss |
|:-------------:|:-------:|:------:|:---------------:|
| 6.3402        | 1.1141  | 10000  | 6.2499          |
| 6.0161        | 2.2282  | 20000  | 5.9371          |
| 5.7976        | 3.3422  | 30000  | 5.8868          |
| 5.5778        | 4.4563  | 40000  | 5.8308          |
| 5.4306        | 5.5704  | 50000  | 5.8110          |
| 5.3332        | 6.6845  | 60000  | 5.8593          |
| 5.2095        | 7.7986  | 70000  | 5.8150          |
| 5.1312        | 8.9127  | 80000  | 5.7984          |
| 5.0266        | 10.0267 | 90000  | 5.8415          |
| 4.9492        | 11.1408 | 100000 | 5.8116          |
| 4.9416        | 12.2549 | 110000 | 5.8231          |
| 4.8767        | 13.3690 | 120000 | 5.7562          |
| 4.8295        | 14.4831 | 130000 | 5.7837          |
| 4.7927        | 15.5971 | 140000 | 5.7813          |
| 4.7876        | 16.7112 | 150000 | 5.7653          |
| 4.7466        | 17.8253 | 160000 | 5.7583          |
| 4.7208        | 18.9394 | 170000 | 5.8002          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1