End of training

README.md

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+---
+base_model: RohanHBTU/flan-t5-base-finetuned-frnet-300ct-4e
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: flan-t5-base-finetuned-frnet-300ct-7e
+  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. -->
+
+# flan-t5-base-finetuned-frnet-300ct-7e
+
+This model is a fine-tuned version of [RohanHBTU/flan-t5-base-finetuned-frnet-300ct-4e](https://huggingface.co/RohanHBTU/flan-t5-base-finetuned-frnet-300ct-4e) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4854
+- Bleu: 43.2024
+- Gen Len: 87.8205
+
+## 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: 2
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.5653        | 1.0   | 17548 | 0.5172          | 41.7992 | 89.1587 |
+| 0.5663        | 2.0   | 35096 | 0.4939          | 42.9805 | 88.0114 |
+| 0.5107        | 3.0   | 52644 | 0.4854          | 43.2024 | 87.8205 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.2
+- 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": "4.41.2"
+}

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