full_nvp2500

README.md

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+---
+base_model: mika5883/Pretrained_ReCl8
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: Full_NVP2500
+  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. -->
+
+# Full_NVP2500
+
+This model is a fine-tuned version of [mika5883/Pretrained_ReCl8](https://huggingface.co/mika5883/Pretrained_ReCl8) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1406
+- Bleu: 91.1196
+- Gen Len: 23.5192
+
+## 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: 3.83229e-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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 1.0   | 313  | 0.1551          | 90.3903 | 23.52   |
+| 0.2682        | 2.0   | 626  | 0.1406          | 91.1196 | 23.5192 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 2,
+  "max_new_tokens": 60,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}

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