Samuael/tigt5-30k

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: tigt5-30k
+  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. -->
+
+# tigt5-30k
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 8.1030
+- eval_wer: 4.7609
+- eval_cer: 3.6571
+- eval_bleu: 0.0125
+- eval_runtime: 102.7353
+- eval_samples_per_second: 4.867
+- eval_steps_per_second: 0.039
+- epoch: 29.0
+- step: 4205
+
+## 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: 0.001
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+  "max_length": 512,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

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