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_MAT
+  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_MAT
+
+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: 0.1551
+- Precision: 0.8250
+- Recall: 0.8333
+- F1: 0.8291
+- Accuracy: 0.9766
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1259        | 1.0   | 569  | 0.0862          | 0.8117    | 0.7998 | 0.8057 | 0.9742   |
+| 0.0476        | 2.0   | 1138 | 0.0909          | 0.8065    | 0.8154 | 0.8109 | 0.9741   |
+| 0.0296        | 3.0   | 1707 | 0.1032          | 0.8039    | 0.8232 | 0.8134 | 0.9739   |
+| 0.0196        | 4.0   | 2276 | 0.1157          | 0.8054    | 0.8203 | 0.8128 | 0.9745   |
+| 0.0118        | 5.0   | 2845 | 0.1182          | 0.8300    | 0.8311 | 0.8305 | 0.9768   |
+| 0.0074        | 6.0   | 3414 | 0.1399          | 0.8204    | 0.8151 | 0.8178 | 0.9753   |
+| 0.0053        | 7.0   | 3983 | 0.1445          | 0.8334    | 0.8223 | 0.8278 | 0.9765   |
+| 0.0025        | 8.0   | 4552 | 0.1521          | 0.8218    | 0.8288 | 0.8253 | 0.9758   |
+| 0.0023        | 9.0   | 5121 | 0.1555          | 0.8215    | 0.8255 | 0.8235 | 0.9759   |
+| 0.0016        | 10.0  | 5690 | 0.1551          | 0.8250    | 0.8333 | 0.8291 | 0.9766   |
+
+
+### 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:a72c45abbf95e95b043b2e3ae0618867b9549cac41f45b3be1be53374e5354a9
+oid sha256:5e03d0c667c0babfab755229e8b426c87bb75635dd6387e8402a55e4885da151
 size 437380972

runs/Sep08_21-59-13_6bfd1f2e244d/events.out.tfevents.1725832756.6bfd1f2e244d.319.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4eeb6ad86f577168b3535c81a6ff8004db7592e38c3b86a3b94399022882a4d
-size 12398
+oid sha256:6f59198429aa9df30966b8a4eb40ca942586d5db0cb3d525672f1b11c47dc851
+size 13224