ceb-tl-model-v2 / README.md
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---
license: apache-2.0
base_model: youdiniplays/ceb-tl-model
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ceb-tl-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. -->
# ceb-tl-model-v2
This model is a fine-tuned version of [youdiniplays/ceb-tl-model](https://huggingface.co/youdiniplays/ceb-tl-model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5619
- Bleu: 4.3134
- Gen Len: 18.148
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.741 | 1.0 | 6516 | 0.6333 | 3.8614 | 18.103 |
| 0.6821 | 2.0 | 13032 | 0.6116 | 4.1546 | 18.124 |
| 0.6257 | 3.0 | 19548 | 0.5879 | 4.2546 | 18.136 |
| 0.5806 | 4.0 | 26064 | 0.5673 | 4.3143 | 18.138 |
| 0.5472 | 5.0 | 32580 | 0.5619 | 4.3134 | 18.148 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0