Upload 12 files
Browse files- config.json +34 -0
- evaluation.log +6 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- trainer_state.json +291 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "google/mobilebert-uncased",
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"architectures": [
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"MobileBertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_activation": false,
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"classifier_dropout": null,
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"embedding_size": 128,
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"hidden_act": "relu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"intra_bottleneck_size": 128,
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"key_query_shared_bottleneck": true,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "mobilebert",
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"normalization_type": "no_norm",
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"num_attention_heads": 4,
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"num_feedforward_networks": 4,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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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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"trigram_input": true,
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"true_hidden_size": 128,
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"type_vocab_size": 2,
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"use_bottleneck": true,
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"use_bottleneck_attention": false,
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"vocab_size": 30522
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}
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evaluation.log
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Accuracy: 0.9977344870567322
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('People with Long COVID experience PEM.', 1, 0)
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('pharmacotherapy with amitriptyline and hochuekkito, a Japanese herbal (Kampo) medicine', 1, 0)
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('PM2.5 has implications in cardiovascular adverse events', 1, 0)
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('Small doses of prednisone block inflammation in Long COVID.', 1, 0)
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("suppression of the pituitary gland's pulsatile secretion of tropic hormones", 1, 0)
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ecb413eefaba4920c61644c5002fde8137473d849700a88a062c0189efda323
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size 98470112
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:85d2386f70406ee6a8aa100dbad9927dc927de6b1127b72805ce9cf5b791a88a
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size 197562589
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:04480b41443f43abe08b007d9f81b1cde1f8f5a62079008c358d77853cadc4d8
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size 13990
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0e51d326d6b7287d246e4b20e262ffcde5f6050f39a442970dd3ce81768b5d4
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size 1064
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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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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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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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},
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"100": {
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"content": "[UNK]",
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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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},
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"101": {
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"content": "[CLS]",
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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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},
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"102": {
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"content": "[SEP]",
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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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},
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"103": {
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"content": "[MASK]",
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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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}
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},
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"clean_up_tokenization_spaces": true,
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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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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "MobileBertTokenizer",
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"unk_token": "[UNK]"
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}
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trainer_state.json
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{
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| 2 |
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"best_metric": 0.0006066389032639563,
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| 3 |
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"best_model_checkpoint": "./results/checkpoint-1500",
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| 4 |
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"epoch": 6.0,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 1500,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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| 11 |
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"learning_rate": 1.25e-05,
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"step": 50
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},
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},
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{
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"epoch": 0.6,
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},
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{
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"epoch": 0.8,
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"learning_rate": 5e-05,
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"loss": 1.9227,
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"step": 200
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},
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{
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"epoch": 1.0,
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"grad_norm": 0.033596742898225784,
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"learning_rate": 4.891304347826087e-05,
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"loss": 0.0034,
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"step": 250
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},
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{
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"epoch": 1.0,
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| 48 |
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"eval_loss": 0.007859374396502972,
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"eval_runtime": 3.0831,
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"eval_samples_per_second": 324.344,
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| 51 |
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"eval_steps_per_second": 20.434,
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| 52 |
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"step": 250
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},
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{
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"epoch": 1.2,
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"learning_rate": 4.782608695652174e-05,
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"loss": 0.0091,
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"step": 300
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},
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{
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"epoch": 1.4,
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"grad_norm": 6.665806722594425e-05,
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"learning_rate": 4.673913043478261e-05,
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"step": 350
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},
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{
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"epoch": 1.6,
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