End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: checkpoint
+  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. -->
+
+# checkpoint
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+
+## 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: 8
+- seed: 12345
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.2.0.dev20230912+cu121
+- Datasets 2.14.5
+- Tokenizers 0.13.3

all_results.json

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+{
+    "epoch": 8.0,
+    "eval_acc": 0.7014084507042253,
+    "eval_f1": 0.6741637713820822,
+    "eval_loss": 0.8822048902511597,
+    "eval_runtime": 438.2107,
+    "eval_samples_per_second": 1.62,
+    "eval_steps_per_second": 0.203
+}

eval_results.json

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+{
+    "epoch": 8.0,
+    "eval_acc": 0.7014084507042253,
+    "eval_f1": 0.6741637713820822,
+    "eval_loss": 0.8822048902511597,
+    "eval_runtime": 438.2107,
+    "eval_samples_per_second": 1.62,
+    "eval_steps_per_second": 0.203
+}

pytorch_model.bin

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+size 786817494

training_args.bin

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