End of training

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-base-uncased-cosmos-mcqa
+  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. -->
+
+# bert-base-uncased-cosmos-mcqa
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0302
+- Accuracy: 0.5940
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9652        | 1.0   | 1579 | 0.9947          | 0.5926   |
+| 0.6377        | 2.0   | 3158 | 1.0135          | 0.6178   |
+| 0.3396        | 3.0   | 4737 | 1.3263          | 0.6010   |
+| 0.1965        | 4.0   | 6316 | 1.8585          | 0.5916   |
+| 0.1211        | 5.0   | 7895 | 2.0302          | 0.5940   |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.6.dev0
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ac7684f91d2df16bcef83764bdee61fadaadc20f7df0e4d612e52f10ce777d7
+oid sha256:e315b9a9eae9bd34748da6f12182d81b32c29a84c08903e1f14e8ae13a996338
 size 438000433