Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Samuael/geez_t5-big-15k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samuael/geez_t5-big-15k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Samuael/geez_t5-big-15k") model = AutoModelForSeq2SeqLM.from_pretrained("Samuael/geez_t5-big-15k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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tags:
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- generated_from_trainer
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metrics:
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# geez_t5-big-15k
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Wer:
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- Cer: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu
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### Framework versions
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base_model: Samuael/geez_t5-big-15k
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tags:
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- generated_from_trainer
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metrics:
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# geez_t5-big-15k
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This model is a fine-tuned version of [Samuael/geez_t5-big-15k](https://huggingface.co/Samuael/geez_t5-big-15k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8007
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- Wer: 0.2339
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- Cer: 0.0556
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- Bleu: 58.8529
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu |
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| 0.2136 | 1.0 | 29311 | 0.8007 | 0.2339 | 0.0556 | 58.8529 |
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### Framework versions
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model.safetensors
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runs/Apr08_11-01-03_1806fcd7f1a3/events.out.tfevents.1712574082.1806fcd7f1a3.590.0
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