End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: lyeonii/bert-mini
+tags:
+- generated_from_trainer
+model-index:
+- name: lyeonii_bert-mini
+  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. -->
+
+# lyeonii_bert-mini
+
+This model is a fine-tuned version of [lyeonii/bert-mini](https://huggingface.co/lyeonii/bert-mini) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6311
+
+## 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: 64
+- seed: 42
+- 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.618         | 1.0   | 626  | 0.6469          |
+| 0.5756        | 2.0   | 1252 | 0.6356          |
+| 0.6375        | 3.0   | 1878 | 0.6311          |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

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+{
+  "_name_or_path": "lyeonii/bert-mini",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 256,
+  "initializer_range": 0.02,
+  "intermediate_size": 1024,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 4,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

flax_model.msgpack

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pytorch_model.bin

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special_tokens_map.json

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+}

tf_model.h5

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tokenizer_config.json

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+  "tokenizer_class": "BertTokenizer",
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+}

training_args.bin

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