suniljadhav
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Parent(s):
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valen/sentiment-classifier
Browse files
README.md
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---
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license: apache-2.0
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base_model: bert-base-cased
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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: test_trainer
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results: []
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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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# test_trainer
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6938
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- Accuracy: 0.485
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 8
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 25 | 0.6972 | 0.52 |
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| No log | 2.0 | 50 | 0.6938 | 0.485 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.2.2
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "bert-base-cased",
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"architectures": [
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"BertForSequenceClassification"
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.44.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ade88e9f444fdcbe6c9307b6aa50890f8b11f9aae6565080ed9d173e1496326
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size 433270768
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runs/Aug30_22-27-23_Sunils-MacBook-Pro.local/events.out.tfevents.1725037050.Sunils-MacBook-Pro.local.3653.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:1e8538b2c6ebad91c0ce70cb4491432e91326bdd79e94eaea10ce40eadb5bf62
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size 5875
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a46aa63385025cfd8794b674414de9bb93ffd28d395e6ef954c94dc0c02283ca
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size 5176
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