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ethipic-sec2sec-tigre
Samuael/ethipic-sec2sec-tigre
ethipic-sec2sec-tigre is a machine learning model from Samuael. 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.
should probably proofread and complete it, then remove this comment. --
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.safetensors241 MB · 100%
At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Oct 26, 2024
- Updated
- Oct 26, 2024
- SHA
- 9f0818c5
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. -->
ethipic-sec2sec-tigrinya
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1009
- eval_wer: 0.0416
- eval_cer: 0.0113
- eval_bleu: 91.6015
- eval_runtime: 30.3787
- eval_samples_per_second: 9.842
- eval_steps_per_second: 0.099
- epoch: 4.0
- step: 51000
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: 0.0002
- train_batch_size: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- Created
- Oct 26, 2024
- Updated
- Oct 26, 2024