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mt5-aym-lex-try
alvations/mt5-aym-lex-try
mt5-aym-lex-try is a machine learning model from alvations. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- May 16, 2023
- Updated
- May 16, 2023
- SHA
- d92ebc83
Model card
From the Hugging Face model README
<!-- 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 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
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- May 16, 2023
- Updated
- May 16, 2023