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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-aym-lex
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. -->
# mt5-aym-lex
This model is a fine-tuned version of [alvations/mt5-aym-lex](https://huggingface.co/alvations/mt5-aym-lex) on the None dataset.
It achieves the following results on the evaluation set:
- Bleu: 3.1238
- Chrf: 24.4605
- Gen Len: 17.3872
- Loss: 0.1883
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 600
### Training results
| Training Loss | Epoch | Step | Bleu | Chrf | Gen Len | Validation Loss |
|:-------------:|:-----:|:-----:|:------:|:-------:|:-------:|:---------------:|
| 0.067 | 4.86 | 20000 | 2.9344 | 24.2586 | 17.5005 | 0.1844 |
| 0.065 | 9.71 | 40000 | 3.1238 | 24.4605 | 17.3872 | 0.1883 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
|