End of training

README.md

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+---
+base_model: houdini001/BERT2BERT_try
+tags:
+- generated_from_trainer
+model-index:
+- name: BERT2BERT_try_ep11
+  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. -->
+
+# BERT2BERT_try_ep11
+
+This model is a fine-tuned version of [houdini001/BERT2BERT_try](https://huggingface.co/houdini001/BERT2BERT_try) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0240
+
+## 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
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.012         | 1.57  | 1000 | 0.0237          |
+| 0.0024        | 3.14  | 2000 | 0.0238          |
+| 0.0009        | 4.72  | 3000 | 0.0234          |
+| 0.0004        | 6.29  | 4000 | 0.0240          |
+| 0.0003        | 7.86  | 5000 | 0.0237          |
+| 0.0003        | 9.43  | 6000 | 0.0240          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}