khalidr commited on
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Training complete!

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: bert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert-base-uncased-issues-128
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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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+ # bert-base-uncased-issues-128
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2353
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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: 5e-05
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+ - train_batch_size: 32
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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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+ - num_epochs: 16
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.0991 | 1.0 | 291 | 1.7002 |
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+ | 1.6295 | 2.0 | 582 | 1.5208 |
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+ | 1.4967 | 3.0 | 873 | 1.3521 |
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+ | 1.3965 | 4.0 | 1164 | 1.3367 |
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+ | 1.332 | 5.0 | 1455 | 1.2266 |
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+ | 1.285 | 6.0 | 1746 | 1.3645 |
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+ | 1.2314 | 7.0 | 2037 | 1.2992 |
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+ | 1.2027 | 8.0 | 2328 | 1.3514 |
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+ | 1.1688 | 9.0 | 2619 | 1.2146 |
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+ | 1.1407 | 10.0 | 2910 | 1.1802 |
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+ | 1.1272 | 11.0 | 3201 | 1.1346 |
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+ | 1.1131 | 12.0 | 3492 | 1.1902 |
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+ | 1.0892 | 13.0 | 3783 | 1.2254 |
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+ | 1.0755 | 14.0 | 4074 | 1.2124 |
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+ | 1.0741 | 15.0 | 4365 | 1.2180 |
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+ | 1.0604 | 16.0 | 4656 | 1.2353 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "bert-base-uncased",
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+ "architectures": [
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+ "BertForMaskedLM"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
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+ {
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+ "transformers_version": "4.41.2"
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