End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- opus100
+metrics:
+- bleu
+model-index:
+- name: GenzTranscribe-en-hi
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: opus100
+      type: opus100
+      config: en-hi
+      split: test
+      args: en-hi
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 11.6016
+---
+
+<!-- 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. -->
+
+# GenzTranscribe-en-hi
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2835
+- Bleu: 11.6016
+- Gen Len: 14.765
+
+## 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: 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
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.2859        | 1.0   | 33395 | 0.2898          | 10.7407 | 14.7245 |
+| 0.2733        | 2.0   | 66790 | 0.2835          | 11.6016 | 14.765  |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.2"
+}

pytorch_model.bin

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