End of training

README.md

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+---
+base_model: Dhahlan2000/Simple_Translation-model-for-GPT-v2
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: Simple_Translation-model-for-GPT-v3
+  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. -->
+
+# Simple_Translation-model-for-GPT-v3
+
+This model is a fine-tuned version of [Dhahlan2000/Simple_Translation-model-for-GPT-v2](https://huggingface.co/Dhahlan2000/Simple_Translation-model-for-GPT-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4882
+- Bleu: 30.5908
+- Gen Len: 15.3476
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.7494        | 1.0   | 4571 | 0.5369          | 28.6585 | 15.3298 |
+| 0.6735        | 2.0   | 9142 | 0.4882          | 30.5908 | 15.3476 |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.0"
+}

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