Instructions to use namin0202/pna-simcse-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namin0202/pna-simcse-bert-base-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("namin0202/pna-simcse-bert-base-uncased") model = BertForCL.from_pretrained("namin0202/pna-simcse-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
Upload 11 files
Browse files- config.json +24 -0
- eval_results.txt +12 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- train_results.txt +3 -0
- trainer_state.json +233 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "result/my-sup-simcse-bert-base-lastterm",
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"architectures": [
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"BertForCL"
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],
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"attention_probs_dropout_prob": 0.1,
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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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"transformers_version": "4.2.1",
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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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eval_results.txt
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epoch = 3.0
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eval_CR = 89.48
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eval_MPQA = 89.68
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eval_MR = 82.55
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eval_MRPC = 76.67
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eval_SST2 = 87.27
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eval_SUBJ = 94.48
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eval_TREC = 78.76
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eval_avg_sts = 0.8170722172992666
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eval_avg_transfer = 85.55571428571429
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eval_sickr_spearman = 0.7818400385849915
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eval_stsb_spearman = 0.8523043960135418
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:df891a475e8137b73ce85bff69ebbc59b96f6bc0ef2ccf169ff9a9613e8605a8
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size 875973285
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:16c5d3e54a49ce0c6c0a382525355ba9a6a5db0f9cb504bd1421ec54ed7a4eb3
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size 438012465
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:17c4ae848e092d1dae85b8344f3b8f445b2c5373adfd9a7888568a422c676a4f
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size 623
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "bert-base-uncased"}
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train_results.txt
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epoch = 3.0
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train_runtime = 2076.5315
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train_samples_per_second = 1.556
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trainer_state.json
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{
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"best_metric": 0.8523043960135418,
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"best_model_checkpoint": "result/my-sup-simcse-bert-base-lastterm",
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"log_history": [
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"step": 375
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{
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"epoch": 0.46,
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{
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{
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
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|
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|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:b54624ed6cd245ae35c94b90dbf8c13889510b6d52ad29eb3631dc50eb346b47
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| 3 |
+
size 2095
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vocab.txt
ADDED
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