End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: t5-large-snli
+  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-large-snli
+
+This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2087
+- Accuracy: 0.809
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0943        | 1.0   | 4292  | 0.0741          | 0.9229   |
+| 0.082         | 2.0   | 8584  | 0.0722          | 0.9265   |
+| 0.0767        | 3.0   | 12876 | 0.0717          | 0.9280   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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"
+}

runs/Jan21_19-32-52_gl1502.arc-ts.umich.edu/events.out.tfevents.1705900016.gl1502.arc-ts.umich.edu.2318126.1

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