update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: gptneo-TxtToJson-v0.3.1
+  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. -->
+
+# gptneo-TxtToJson-v0.3.1
+
+This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1921
+
+## 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: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9333        | 1.0   | 219  | 0.9018          |
+| 0.6128        | 2.0   | 438  | 0.5939          |
+| 0.3284        | 3.0   | 657  | 0.3776          |
+| 0.1879        | 4.0   | 876  | 0.2272          |
+| 0.1326        | 5.0   | 1095 | 0.1921          |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 1.13.0
+- Datasets 2.1.0
+- Tokenizers 0.13.2