Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use heavyhelium/roberta-large-touche-base-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heavyhelium/roberta-large-touche-base-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heavyhelium/roberta-large-touche-base-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heavyhelium/roberta-large-touche-base-binary") model = AutoModelForSequenceClassification.from_pretrained("heavyhelium/roberta-large-touche-base-binary") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3, checkpoint
Browse files- checkpoint-279/config.json +37 -0
- checkpoint-279/model.safetensors +3 -0
- checkpoint-279/optimizer.pt +3 -0
- checkpoint-279/rng_state.pth +3 -0
- checkpoint-279/scaler.pt +3 -0
- checkpoint-279/scheduler.pt +3 -0
- checkpoint-279/tokenizer.json +0 -0
- checkpoint-279/tokenizer_config.json +17 -0
- checkpoint-279/trainer_state.json +256 -0
- checkpoint-279/training_args.bin +3 -0
checkpoint-279/config.json
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{
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"add_cross_attention": false,
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"dtype": "float32",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"0": "valid",
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"1": "fallacy"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"is_decoder": false,
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"label2id": {
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"fallacy": 1,
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"valid": 0
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"problem_type": "single_label_classification",
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"tie_word_embeddings": true,
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"transformers_version": "5.9.0",
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"type_vocab_size": 1,
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"use_cache": false,
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"vocab_size": 50265
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}
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checkpoint-279/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0c2ea7f5abd2d36286e09e471f677bc2317da87a8f106814c282ef1a71e86e1
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size 1421495416
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checkpoint-279/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb6bfb6fa01a48fa245c3e19f8206c32e4a9d5570b921a740819ac33741108f5
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size 2843229182
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checkpoint-279/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:093012ed868f6851a9a2c31ed6e517aab2eaaf0713db7d293add670edb9d4b2a
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size 14645
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checkpoint-279/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:18be69e97022417922b3271a0187967232ec090112ac65dd403e6ecdc524311b
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size 1383
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checkpoint-279/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3c666bb83b189d0abd750461a0a6c85b7889bee03060cdf301ab639ff3aad06
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size 1465
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checkpoint-279/tokenizer.json
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The diff for this file is too large to render.
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checkpoint-279/tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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| 8 |
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"is_local": false,
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| 9 |
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"local_files_only": false,
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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checkpoint-279/trainer_state.json
ADDED
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