End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- itihasa
+metrics:
+- bleu
+model-index:
+- name: sanskrit-to-english
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: itihasa
+      type: itihasa
+      config: Itihasa
+      split: test
+      args: Itihasa
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 0.288
+---
+
+<!-- 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. -->
+
+# sanskrit-to-english
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the itihasa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5134
+- Bleu: 0.288
+- Gen Len: 19.0
+
+## 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
+| 3.9554        | 1.0   | 4698  | 3.7250          | 0.3772 | 19.0    |
+| 3.8183        | 2.0   | 9396  | 3.6050          | 0.3216 | 19.0    |
+| 3.746         | 3.0   | 14094 | 3.5497          | 0.2743 | 19.0    |
+| 3.7183        | 4.0   | 18792 | 3.5229          | 0.2787 | 19.0    |
+| 3.7124        | 5.0   | 23490 | 3.5134          | 0.288  | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}

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