End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+- wer
+model-index:
+- name: mt5_epoch_1To6
+  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. -->
+
+# mt5_epoch_1To6
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Accuracy: 0.0
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Wer: 1.0
+- Cer: 1.0
+- Chrf: 0.0
+- Exact Match: 0.0
+- Bertscore:precision: 0.0
+- Bertscore:recall: 0.0
+- Bertscore:f1: 0.0
+- Ter: 100.0
+- Blerurt: -1.3889
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  | Wer | Cer | Chrf | Exact Match | Bertscore:precision | Bertscore:recall | Bertscore:f1 | Ter   | Blerurt |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|:---:|:---:|:----:|:-----------:|:-------------------:|:----------------:|:------------:|:-----:|:-------:|
+| 0.0           | 1.57  | 1000 | nan             | 0.0      | 0.0       | 0.0    | 0.0 | 1.0 | 1.0 | 0.0  | 0.0         | 0.0                 | 0.0              | 0.0          | 100.0 | -1.3889 |
+| 0.0           | 3.14  | 2000 | nan             | 0.0      | 0.0       | 0.0    | 0.0 | 1.0 | 1.0 | 0.0  | 0.0         | 0.0                 | 0.0              | 0.0          | 100.0 | -1.3889 |
+| 0.0           | 4.72  | 3000 | nan             | 0.0      | 0.0       | 0.0    | 0.0 | 1.0 | 1.0 | 0.0  | 0.0         | 0.0                 | 0.0              | 0.0          | 100.0 | -1.3889 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}

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