End of training

README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_cm
+  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_cm
+
+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: 0.4443
+- Accuracy: 0.9210
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 132  | 0.2634          | 0.8951   |
+| No log        | 2.0   | 264  | 0.2139          | 0.9195   |
+| No log        | 3.0   | 396  | 0.3145          | 0.9195   |
+| 0.2227        | 4.0   | 528  | 0.3342          | 0.9286   |
+| 0.2227        | 5.0   | 660  | 0.3804          | 0.9316   |
+| 0.2227        | 6.0   | 792  | 0.3942          | 0.9362   |
+| 0.2227        | 7.0   | 924  | 0.4372          | 0.9195   |
+| 0.0101        | 8.0   | 1056 | 0.4211          | 0.9255   |
+| 0.0101        | 9.0   | 1188 | 0.4334          | 0.9240   |
+| 0.0101        | 10.0  | 1320 | 0.4443          | 0.9210   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- 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 sha256:94b8c00f53e10e43cff406d1a42239b3583342675ddcd293fdf8d228b5458759
+oid sha256:33ca26762a0fc0cd4af540983a53993a4e2617444cb2e65a2f3c57d6091d1e5d
 size 437958648

runs/Aug27_15-04-01_c9192ce6c06a/events.out.tfevents.1724771045.c9192ce6c06a.242.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ef221101a543bf077c237b129e007d5f905b362c68d0cca823fc8ebdf38c91f4
-size 8455
+oid sha256:1a822609162dd1da57a8a0650f946ac5ffe3194bbd4b6e5147c4022708b7d788
+size 8809