update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-base-uncased-scratch-powo_mgh_pt
+  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. -->
+
+# distilbert-base-uncased-scratch-powo_mgh_pt
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0408
+
+## 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: 5
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 40
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.4584        | 0.2   | 200  | 4.7806          |
+| 4.6385        | 0.41  | 400  | 4.3704          |
+| 4.2219        | 0.61  | 600  | 4.0727          |
+| 3.994         | 0.81  | 800  | 3.8772          |
+| 3.8048        | 1.01  | 1000 | 3.6894          |
+| 3.6722        | 1.22  | 1200 | 3.5732          |
+| 3.4828        | 1.42  | 1400 | 3.4203          |
+| 3.3648        | 1.62  | 1600 | 3.3634          |
+| 3.3918        | 1.83  | 1800 | 3.2685          |
+| 3.3919        | 2.03  | 2000 | 3.2027          |
+| 3.1715        | 2.23  | 2200 | 3.1365          |
+| 3.0635        | 2.43  | 2400 | 3.1228          |
+| 3.0804        | 2.64  | 2600 | 3.0595          |
+| 3.0468        | 2.84  | 2800 | 3.0318          |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1