Final One

README.md

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+---
+license: apache-2.0
+base_model: google/byt5-small
+tags:
+- generated_from_trainer
+model-index:
+- name: filtered_annotated100k_byt5
+  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_annotated100k_byt5
+
+This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.0404
+- eval_Val Accuracy: 0.5118
+- eval_gen_len: 16.6927
+- eval_runtime: 289.0028
+- eval_samples_per_second: 33.232
+- eval_steps_per_second: 1.042
+- epoch: 3.0
+- step: 3603
+
+## 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: 64
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 200
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 1.13.1+cu117
+- Datasets 2.17.1
+- Tokenizers 0.15.2

generation_config.json

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+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}

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