End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: t5-base-finetuned-English-to-Dagaare
+  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. -->
+
+# t5-base-finetuned-English-to-Dagaare
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1439
+- Bleu: 0.0
+- Gen Len: 6.0454
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
+| No log        | 1.0   | 484  | 0.1642          | 0.0  | 4.9104  |
+| 0.7996        | 2.0   | 968  | 0.1519          | 0.0  | 5.5891  |
+| 0.1548        | 3.0   | 1452 | 0.1470          | 0.0  | 5.7218  |
+| 0.1469        | 4.0   | 1936 | 0.1447          | 0.0  | 5.7835  |
+| 0.1444        | 5.0   | 2420 | 0.1439          | 0.0  | 6.0454  |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.1"
+}

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