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---
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
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