End of training

README.md

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+---
+base_model: csebuetnlp/banglat5
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: banglat5-finetuned-headlineBT5_1000
+  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. -->
+
+# banglat5-finetuned-headlineBT5_1000
+
+This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.4004
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
+- Gen Len: 8.3188
+
+## 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: 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 160  | 8.7729          | 0.0    | 0.0    | 0.0    | 0.0       | 16.7688 |
+| No log        | 2.0   | 320  | 6.8254          | 0.0    | 0.0    | 0.0    | 0.0       | 13.6312 |
+| No log        | 3.0   | 480  | 5.8745          | 0.0    | 0.0    | 0.0    | 0.0       | 8.65    |
+| 10.9912       | 4.0   | 640  | 5.4995          | 0.0    | 0.0    | 0.0    | 0.0       | 8.4625  |
+| 10.9912       | 5.0   | 800  | 5.4004          | 0.0    | 0.0    | 0.0    | 0.0       | 8.3188  |
+
+
+### 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": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}

model.safetensors

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