End of training

README.md

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+---
+base_model: duraad/nep-spell-hft
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: nep-spell-hft-993-01-05
+  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-hft-993-01-05
+
+This model is a fine-tuned version of [duraad/nep-spell-hft](https://huggingface.co/duraad/nep-spell-hft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Accuracy: 0.2828
+- Precision: 0.2828
+- Recall: 0.2828
+- F1: 0.2828
+
+## 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: 1e-06
+- train_batch_size: 6
+- eval_batch_size: 6
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0           | 0.75  | 100  | nan             | 0.2828   | 0.2828    | 0.2828 | 0.2828 |
+| 0.0           | 1.5   | 200  | nan             | 0.2828   | 0.2828    | 0.2828 | 0.2828 |
+| 0.0           | 2.26  | 300  | nan             | 0.2828   | 0.2828    | 0.2828 | 0.2828 |
+| 0.0           | 3.01  | 400  | nan             | 0.2828   | 0.2828    | 0.2828 | 0.2828 |
+| 0.0           | 3.76  | 500  | nan             | 0.2828   | 0.2828    | 0.2828 | 0.2828 |
+| 0.0           | 4.51  | 600  | nan             | 0.2828   | 0.2828    | 0.2828 | 0.2828 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- 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": "4.38.1"
+}

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