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Samuael
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geez_15k_sc_mt5

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
generated_from_trainer
Inference Endpoints
text-generation-inference
Model card Files Metrics Community
Samuael commited on
Commit
7b69e86
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1 Parent(s): 82b5ff1

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Files changed (12) hide show
  1. README.md +70 -0
  2. added_tokens.json +102 -0
  3. config.json +30 -0
  4. generation_config.json +7 -0
  5. model.safetensors +3 -0
  6. runs/Mar23_08-43-28_d64d0d010518/events.out.tfevents.1711183423.d64d0d010518.847.0 +3 -0
  7. runs/Mar23_08-46-17_d64d0d010518/events.out.tfevents.1711183588.d64d0d010518.847.1 +3 -0
  8. runs/Mar23_08-46-17_d64d0d010518/events.out.tfevents.1711189130.d64d0d010518.847.2 +3 -0
  9. special_tokens_map.json +132 -0
  10. spiece.model +3 -0
  11. tokenizer_config.json +952 -0
  12. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ - bleu
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+ model-index:
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+ - name: geez_15k_sc_mt5
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # geez_15k_sc_mt5
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+
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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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+ - Loss: 5.1831
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+ - Wer: 2.7741
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+ - Cer: 2.4616
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+ - Bleu: 0.3421
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
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+ | 3.9569 | 1.0 | 777 | 5.3124 | 3.6577 | 3.2387 | 0.1513 |
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+ | 3.8032 | 2.0 | 1554 | 5.3165 | 2.6330 | 2.1305 | 0.2363 |
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+ | 3.6703 | 3.0 | 2331 | 5.2872 | 2.6358 | 2.1641 | 0.2906 |
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+ | 3.7139 | 4.0 | 3108 | 5.2835 | 3.2918 | 2.9050 | 0.1987 |
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+ | 3.6233 | 5.0 | 3885 | 5.2774 | 3.1370 | 2.7563 | 0.2577 |
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+ | 3.6035 | 6.0 | 4662 | 5.3275 | 2.7569 | 2.2850 | 0.3199 |
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+ | 3.5288 | 7.0 | 5439 | 5.3239 | 2.6995 | 2.3541 | 0.2945 |
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+ | 3.3245 | 8.0 | 6216 | 5.3087 | 2.4587 | 2.2025 | 0.3533 |
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+ | 3.4824 | 9.0 | 6993 | 5.2424 | 2.2509 | 1.9156 | 0.5677 |
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+ | 3.3536 | 10.0 | 7770 | 5.1831 | 2.7741 | 2.4616 | 0.3421 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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