Model save

README.md

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+---
+base_model: csebuetnlp/banglat5
+tags:
+- generated_from_trainer
+model-index:
+- name: filtered_annotated94k_banglat5
+  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. -->
+
+# filtered_annotated94k_banglat5
+
+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: 0.1241
+- Val accuracy: 0.9387
+- Gen Len: 2.6493
+
+## 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: 0.0005
+- train_batch_size: 300
+- eval_batch_size: 32
+- 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 | Val accuracy | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------------:|:-------:|
+| No log        | 1.0   | 253  | 0.1969          | 0.8979       | 2.6679  |
+| 1.0947        | 2.0   | 506  | 0.1400          | 0.924        | 2.6558  |
+| 1.0947        | 3.0   | 759  | 0.1280          | 0.9324       | 2.653   |
+| 0.1281        | 4.0   | 1012 | 0.1250          | 0.9359       | 2.6522  |
+| 0.1281        | 5.0   | 1265 | 0.1241          | 0.9387       | 2.6493  |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 1.13.1+cu117
+- Datasets 2.17.0
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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