First Attempt

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: output
+  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. -->
+
+# output
+
+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: 0.6907
+- Accuracy: 0.5353
+- Precision: 0.5353
+- Recall: 1.0
+- F1: 0.6973
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 0
+- 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 | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.1784        | 0.1380 | 500  | 0.1054          | 0.9818   | 0.9732    | 0.9933 | 0.9832 |
+| 0.6684        | 0.2759 | 1000 | 0.6982          | 0.5353   | 0.5353    | 1.0    | 0.6973 |
+| 0.7065        | 0.4139 | 1500 | 0.6939          | 0.5353   | 0.5353    | 1.0    | 0.6973 |
+| 0.6972        | 0.5519 | 2000 | 0.6907          | 0.5353   | 0.5353    | 1.0    | 0.6973 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0
+- Datasets 3.0.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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runs/Sep20_18-16-56_Alejandros-MacBook-Pro.local/events.out.tfevents.1726874227.Alejandros-MacBook-Pro.local.1064.0

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runs/Sep20_18-22-31_Alejandros-MacBook-Pro.local/events.out.tfevents.1726874555.Alejandros-MacBook-Pro.local.1064.1

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runs/Sep20_18-24-42_Alejandros-MacBook-Pro.local/events.out.tfevents.1726874686.Alejandros-MacBook-Pro.local.1064.2

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training_args.bin

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