End of training

README.md

@@ -1,3 +1,62 @@
 ---
-license: mit
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-base-uncased-finetune
+  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-uncased-finetune
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7739
+- Accuracy: 0.7988
+
+## 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: 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7521        | 1.0   | 2299 | 0.5759          | 0.7761   |
+| 0.3803        | 2.0   | 4598 | 0.5829          | 0.7968   |
+| 0.1542        | 3.0   | 6897 | 0.7739          | 0.7988   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47bcb8cca2a3fa0e323acb3d18b0927db353a822eafd6141e57733c3c5d01cfd
+oid sha256:284cf0a0efbab65e9ac8845f2edc91d1ba740ad3feec8f829238b577659dce01
 size 437955572

runs/Apr30_05-11-53_d8ecb55d1a24/events.out.tfevents.1714453915.d8ecb55d1a24.34.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ac4125dbbdd762c61edbdb8d13fa3216638e99f50fd0ef2e28ec5e0867b3d06f
-size 8019
+oid sha256:1d7acbe5ad4f046f522d311836870c9f034f71b57bf89a2dbf6b5423055f65cc
+size 8696