Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use mmeet611/finetuning-sentiment-model-3000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmeet611/finetuning-sentiment-model-3000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mmeet611/finetuning-sentiment-model-3000-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mmeet611/finetuning-sentiment-model-3000-samples") model = AutoModelForSequenceClassification.from_pretrained("mmeet611/finetuning-sentiment-model-3000-samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
- runs/Jul05_06-51-19_4a9e9f1de4bc/1657004016.8197985/events.out.tfevents.1657004016.4a9e9f1de4bc.71.1 +3 -0
- runs/Jul05_06-51-19_4a9e9f1de4bc/events.out.tfevents.1657004016.4a9e9f1de4bc.71.0 +3 -0
- special_tokens_map.json +7 -1
- tokenizer_config.json +14 -1
- training_args.bin +2 -2
config.json
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"vocab_size": 30522
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}
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.20.1",
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"vocab_size": 30522
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 267854321
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version https://git-lfs.github.com/spec/v1
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oid sha256:43369d3520f925c87944c32b91589f3f97cecf8b0f0ca69a8f91a9f1986ee04e
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size 267854321
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runs/Jul05_06-51-19_4a9e9f1de4bc/1657004016.8197985/events.out.tfevents.1657004016.4a9e9f1de4bc.71.1
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oid sha256:d78eccfecc2c7f8ad3f5d93084a8c602566521168b36b7809e77d6ad31f02848
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size 5383
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runs/Jul05_06-51-19_4a9e9f1de4bc/events.out.tfevents.1657004016.4a9e9f1de4bc.71.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0340b45803250438907ce3b8bd521fbb46fefa65e1dae70725c6da8be0c295f
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size 3551
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special_tokens_map.json
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{
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
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{
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{
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "distilbert-base-uncased",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:05bf7ec3354838e2221619ca005d28b44eba91965d0b951805a6695a3bea6a71
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size 3311
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