Model save

README.md

@@ -0,0 +1,71 @@
+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_base_lda_5_v1_book
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert_base_lda_5_v1_book_mrpc
+  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_lda_5_v1_book_mrpc
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1_book) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8087
+- Accuracy: 0.7255
+- F1: 0.825
+- Combined Score: 0.7752
+
+## 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: 256
+- eval_batch_size: 256
+- seed: 10
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.6274        | 1.0   | 15   | 0.6026          | 0.6765   | 0.7905 | 0.7335         |
+| 0.5872        | 2.0   | 30   | 0.5821          | 0.6985   | 0.8178 | 0.7582         |
+| 0.5589        | 3.0   | 45   | 0.5609          | 0.7010   | 0.8082 | 0.7546         |
+| 0.52          | 4.0   | 60   | 0.5504          | 0.7181   | 0.8130 | 0.7656         |
+| 0.4758        | 5.0   | 75   | 0.5648          | 0.6863   | 0.7647 | 0.7255         |
+| 0.4144        | 6.0   | 90   | 0.5725          | 0.7279   | 0.8147 | 0.7713         |
+| 0.3139        | 7.0   | 105  | 0.6853          | 0.7181   | 0.8074 | 0.7628         |
+| 0.2645        | 8.0   | 120  | 0.7634          | 0.7475   | 0.8362 | 0.7919         |
+| 0.2114        | 9.0   | 135  | 0.8087          | 0.7255   | 0.825  | 0.7752         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

logs/events.out.tfevents.1733826465.ki-g0008.520107.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:543b08d5e8f7c3468ab7029399ca49b0a9f72d445bd130c00a68587d3ad33d97
-size 9488
+oid sha256:959d0575872c14853b8b99a5f870778ef7a248f4581fa2e184548ac6e9324452
+size 11106

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d73a356e636e189fff37eb392e05c896033ad327ab24dcd7827b7d71d19e6702
+oid sha256:c8aed2f4c90e61e2db2a08d06662dfae72aecf272610e4ed3ef585c5402cdb8b
 size 437953248