Model save

README.md

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+---
+base_model: csebuetnlp/banglat5_small
+tags:
+- generated_from_trainer
+model-index:
+- name: banglat5_small-bcoqa
+  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_small-bcoqa
+
+This model is a fine-tuned version of [csebuetnlp/banglat5_small](https://huggingface.co/csebuetnlp/banglat5_small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7000
+
+## 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: 12
+- eval_batch_size: 12
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.2106        | 0.3   | 3500  | 1.9410          |
+| 2.0379        | 0.61  | 7000  | 1.8165          |
+| 1.9777        | 0.91  | 10500 | 1.7523          |
+| 1.8829        | 1.21  | 14000 | 1.7204          |
+| 1.9278        | 1.51  | 17500 | 1.7048          |
+| 1.8719        | 1.82  | 21000 | 1.7000          |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.0.dev0"
+}