End of training

README.md

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+---
+license: apache-2.0
+base_model: duraad/nep-spell-mt5-small-01
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: nep-spell-mt5-small-02
+  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. -->
+
+# nep-spell-mt5-small-02
+
+This model is a fine-tuned version of [duraad/nep-spell-mt5-small-01](https://huggingface.co/duraad/nep-spell-mt5-small-01) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0018
+- Accuracy: 0.732
+- Precision: 0.8016
+- Recall: 0.732
+- F1: 0.7563
+
+## 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0088        | 1.0   | 10000 | 0.0018          | 0.732    | 0.8016    | 0.732  | 0.7563 |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.17.0
+- Tokenizers 0.15.1

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": "4.37.0"
+}

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