kalai_fine_tuned_model_2

README.md

@@ -0,0 +1,74 @@
+---
+license: apache-2.0
+base_model: albert/albert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: fine_tuned_model_2
+  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. -->
+
+# fine_tuned_model_2
+
+This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1547
+- Accuracy: 0.9730
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 28   | 0.5030          | 0.9189   |
+| No log        | 2.0   | 56   | 0.1776          | 0.9640   |
+| No log        | 3.0   | 84   | 1.1016          | 0.2793   |
+| No log        | 4.0   | 112  | 0.7159          | 0.8739   |
+| No log        | 5.0   | 140  | 0.1969          | 0.9550   |
+| No log        | 6.0   | 168  | 0.1550          | 0.9640   |
+| No log        | 7.0   | 196  | 0.1547          | 0.9730   |
+| No log        | 8.0   | 224  | 0.1794          | 0.9640   |
+| No log        | 9.0   | 252  | 0.1822          | 0.9640   |
+| No log        | 10.0  | 280  | 0.1845          | 0.9640   |
+| No log        | 11.0  | 308  | 0.1834          | 0.9640   |
+| No log        | 12.0  | 336  | 0.1827          | 0.9640   |
+| No log        | 13.0  | 364  | 0.1694          | 0.9730   |
+| No log        | 14.0  | 392  | 0.1714          | 0.9730   |
+| No log        | 15.0  | 420  | 0.1737          | 0.9730   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6dc0f0cf23629bf00d8d7e6dfeb8b18e404c1024a4a303f3095ab35e20e0bbb0
+oid sha256:31fb14ca92a4c2c96468a9727d96b8be9fff5bb2ff946dd6e3aa24c88e21af30
 size 46746988

runs/Apr16_09-40-04_26547f4b6832/events.out.tfevents.1713260410.26547f4b6832.71907.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:699945a99027832a146fb0a46d6c77ed2b787ff50aa270491c4dbaba910d1281
-size 9369
+oid sha256:20e3774c158c584140707c387799018f620aefa8da347b414ad8d8dfb1a4a430
+size 10046

runs/Apr16_09-40-04_26547f4b6832/events.out.tfevents.1713261836.26547f4b6832.71907.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c2dbbc22ad6f13b325cca290fc6b1366f15179e8c2d59429003d9de82107615
+size 411