End of training

README.md

@@ -0,0 +1,73 @@
+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- accuracy
+model-index:
+- name: t5-base_sst2_dense_epochs-1
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      config: sst2
+      split: train[:64]
+      args: sst2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6923076923076923
+---
+
+<!-- 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_sst2_dense_epochs-1
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6769
+- Accuracy: 0.6923
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 0
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.9.0
+- Tokenizers 0.14.1

pytorch_model.bin

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tokenizer.json

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 {
   "version": "1.0",
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+    "max_length": 512,
+    "strategy": "LongestFirst",
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   "added_tokens": [
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