afaji commited on
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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: results
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # results
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2400
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+ - Accuracy: 0.8996
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 28 | 1.3861 | 0.2679 |
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+ | No log | 2.0 | 56 | 1.3857 | 0.2723 |
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+ | No log | 3.0 | 84 | 1.3847 | 0.3304 |
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+ | No log | 4.0 | 112 | 1.3618 | 0.5759 |
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+ | No log | 5.0 | 140 | 0.8967 | 0.6763 |
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+ | No log | 6.0 | 168 | 0.5932 | 0.7969 |
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+ | No log | 7.0 | 196 | 0.4044 | 0.8638 |
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+ | No log | 8.0 | 224 | 0.3016 | 0.9129 |
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+ | No log | 9.0 | 252 | 0.3303 | 0.8772 |
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+ | No log | 10.0 | 280 | 0.2400 | 0.8996 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
config.json ADDED
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "num_attention_heads": 8,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ }
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