End of training

README.md

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+---
+license: apache-2.0
+base_model: lukeleeai/t5-base_cola_densedense_baseline
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- accuracy
+model-index:
+- name: t5-base_cola_dense_mare_mlp_einsum
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      config: cola
+      split: validation
+      args: cola
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7526366251198466
+---
+
+<!-- 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_cola_dense_mare_mlp_einsum
+
+This model is a fine-tuned version of [lukeleeai/t5-base_cola_densedense_baseline](https://huggingface.co/lukeleeai/t5-base_cola_densedense_baseline) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6369
+- Accuracy: 0.7526
+
+## 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: 8
+- eval_batch_size: 32
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5857        | 0.19  | 50   | 0.6136          | 0.6913   |
+| 0.5918        | 0.37  | 100  | 0.6222          | 0.6913   |
+| 0.5688        | 0.56  | 150  | 0.6246          | 0.6913   |
+| 0.685         | 0.75  | 200  | 0.6150          | 0.6913   |
+| 0.565         | 0.93  | 250  | 0.6197          | 0.6913   |
+| 0.5892        | 1.12  | 300  | 0.6066          | 0.6922   |
+| 0.5444        | 1.31  | 350  | 0.5988          | 0.7009   |
+| 0.6097        | 1.5   | 400  | 0.5796          | 0.7076   |
+| 0.5904        | 1.68  | 450  | 0.5916          | 0.6884   |
+| 0.5898        | 1.87  | 500  | 0.5815          | 0.7057   |
+| 0.5569        | 2.06  | 550  | 0.5771          | 0.6999   |
+| 0.4553        | 2.24  | 600  | 0.6217          | 0.7210   |
+| 0.4796        | 2.43  | 650  | 0.6323          | 0.7229   |
+| 0.5362        | 2.62  | 700  | 0.6491          | 0.7229   |
+| 0.5756        | 2.8   | 750  | 0.5745          | 0.7018   |
+| 0.5731        | 2.99  | 800  | 0.6104          | 0.7315   |
+| 0.4573        | 3.18  | 850  | 0.6087          | 0.7248   |
+| 0.5395        | 3.36  | 900  | 0.6768          | 0.7459   |
+| 0.4447        | 3.55  | 950  | 0.6372          | 0.7383   |
+| 0.3891        | 3.74  | 1000 | 0.6589          | 0.7402   |
+| 0.3923        | 3.93  | 1050 | 0.6273          | 0.7344   |
+| 0.3855        | 4.11  | 1100 | 0.7189          | 0.7344   |
+| 0.4015        | 4.3   | 1150 | 0.6456          | 0.7469   |
+| 0.33          | 4.49  | 1200 | 0.7179          | 0.7450   |
+| 0.354         | 4.67  | 1250 | 0.6369          | 0.7526   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.9.0
+- Tokenizers 0.11.6

pytorch_model.bin

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