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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-aym-lex-try
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-try
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:
- Loss: 0.2781
- Chrf: 15.5602
- Bleu: 0.7538
- Gen Len: 19.0
## 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: 1
- training_steps: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
| 0.2183 | 0.0 | 20 | 0.3002 | 16.5098 | 0.7277 | 19.0 |
| 0.1911 | 0.01 | 40 | 0.2852 | 16.9826 | 0.7635 | 19.0 |
| 0.2366 | 0.01 | 60 | 0.2800 | 15.7077 | 0.7476 | 19.0 |
| 0.1941 | 0.02 | 80 | 0.2785 | 15.5602 | 0.7538 | 19.0 |
| 0.1991 | 0.02 | 100 | 0.2781 | 15.5602 | 0.7538 | 19.0 |
### Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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