---
license: apache-2.0
base_model: youdiniplays/tl-ceb-model
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tl-ceb-model-v2
  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. -->

# tl-ceb-model-v2

This model is a fine-tuned version of [youdiniplays/tl-ceb-model](https://huggingface.co/youdiniplays/tl-ceb-model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5371
- Bleu: 3.6169
- Gen Len: 18.162

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.6836        | 1.0   | 6547  | 0.6019          | 3.5268 | 18.224  |
| 0.6358        | 2.0   | 13094 | 0.5836          | 3.5619 | 18.19   |
| 0.586         | 3.0   | 19641 | 0.5585          | 3.6568 | 18.214  |
| 0.5405        | 4.0   | 26188 | 0.5412          | 3.6242 | 18.174  |
| 0.508         | 5.0   | 32735 | 0.5371          | 3.6169 | 18.162  |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0