Instructions to use joseph10/tiny-bert-sst2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joseph10/tiny-bert-sst2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joseph10/tiny-bert-sst2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joseph10/tiny-bert-sst2-distilled") model = AutoModelForSequenceClassification.from_pretrained("joseph10/tiny-bert-sst2-distilled") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files- logs/events.out.tfevents.1701809998.joseph_legion.26688.2 +2 -2
- model.safetensors +1 -1
- run-1/checkpoint-960/config.json +38 -0
- run-1/checkpoint-960/model.safetensors +3 -0
- run-1/checkpoint-960/optimizer.pt +3 -0
- run-1/checkpoint-960/rng_state.pth +3 -0
- run-1/checkpoint-960/scheduler.pt +3 -0
- run-1/checkpoint-960/special_tokens_map.json +7 -0
- run-1/checkpoint-960/tokenizer.json +0 -0
- run-1/checkpoint-960/tokenizer_config.json +57 -0
- run-1/checkpoint-960/trainer_state.json +84 -0
- run-1/checkpoint-960/training_args.bin +3 -0
- run-1/checkpoint-960/vocab.txt +0 -0
logs/events.out.tfevents.1701809998.joseph_legion.26688.2
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model.safetensors
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run-1/checkpoint-960/config.json
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{
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"_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
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"architectures": [
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"BertForSequenceClassification"
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"attention_probs_dropout_prob": 0.1,
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"0": "noHate",
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"relation": "3"
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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": 2,
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"num_hidden_layers": 2,
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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": "4.35.2",
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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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run-1/checkpoint-960/model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 17550344
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run-1/checkpoint-960/optimizer.pt
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run-1/checkpoint-960/rng_state.pth
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run-1/checkpoint-960/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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run-1/checkpoint-960/special_tokens_map.json
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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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run-1/checkpoint-960/tokenizer.json
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run-1/checkpoint-960/tokenizer_config.json
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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"103": {
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"normalized": false,
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| 39 |
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"rstrip": false,
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"single_word": false,
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"special": true
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| 42 |
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| 44 |
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"clean_up_tokenization_spaces": true,
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| 45 |
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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run-1/checkpoint-960/trainer_state.json
ADDED
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{
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"best_model_checkpoint": "tiny-bert-sst2-distilled\\run-1\\checkpoint-240",
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{
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{
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{
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{
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{
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{
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{
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],
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}
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run-1/checkpoint-960/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:04663dbe7637a3519a34a8cf9e2677fd38fcd880bb74e76f6f906b6293163a6b
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| 3 |
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size 4664
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run-1/checkpoint-960/vocab.txt
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