End of training

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: mit
+base_model: m3rg-iitd/matscibert
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: ST_CEMS
+  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. -->
+
+# ST_CEMS
+
+This model is a fine-tuned version of [m3rg-iitd/matscibert](https://huggingface.co/m3rg-iitd/matscibert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0598
+- Precision: 0.9368
+- Recall: 0.9226
+- F1: 0.9296
+- Accuracy: 0.9898
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0492        | 1.0   | 569  | 0.0347          | 0.9181    | 0.9091 | 0.9136 | 0.9881   |
+| 0.0177        | 2.0   | 1138 | 0.0331          | 0.9406    | 0.9177 | 0.9290 | 0.9905   |
+| 0.0109        | 3.0   | 1707 | 0.0454          | 0.9116    | 0.9122 | 0.9119 | 0.9876   |
+| 0.0066        | 4.0   | 2276 | 0.0454          | 0.9596    | 0.8970 | 0.9272 | 0.9896   |
+| 0.0042        | 5.0   | 2845 | 0.0477          | 0.9352    | 0.9061 | 0.9204 | 0.9889   |
+| 0.0027        | 6.0   | 3414 | 0.0525          | 0.9352    | 0.9146 | 0.9248 | 0.9896   |
+| 0.0018        | 7.0   | 3983 | 0.0498          | 0.9405    | 0.9159 | 0.9280 | 0.9899   |
+| 0.0008        | 8.0   | 4552 | 0.0555          | 0.9312    | 0.9238 | 0.9275 | 0.9896   |
+| 0.0007        | 9.0   | 5121 | 0.0602          | 0.9406    | 0.9165 | 0.9284 | 0.9897   |
+| 0.0006        | 10.0  | 5690 | 0.0598          | 0.9368    | 0.9226 | 0.9296 | 0.9898   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6ad7a9a9ac6cdeac43163f8a4837cb2018d9623bce103aa88f437065cee656b4
+oid sha256:b6db579a756ca8510138bdf3bad579ff9eda0d39bb85b2c2f60d4f67356b9d83
 size 437344060

runs/Sep08_22-03-28_4ebb26e506e2/events.out.tfevents.1725833009.4ebb26e506e2.702.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2c888b1874eda0f843b484b3e0c2a7267cabc831d21eb42ddfec968969e7ace8
-size 11635
+oid sha256:713b48a070c0ee5a5cfc7cde9c34e3e7e6bb1dd6db70eaefbcba8df4e420fda4
+size 12461