KennethEnevoldsen
commited on
Commit
•
c7392f2
1
Parent(s):
0ae4019
Initial commit
Browse files- README.md +22 -0
- config.json +26 -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 +1296 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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Trained using SimCSE with:
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```
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CUDA_VISIBLE_DEVICES=0 python train.py \
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--train_file data/dfm_paragraphs.txt \
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--model_name_or_path chcaa/dfm-encoder-large-v1 \
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--output_dir result/dfm-sentence-encoder-medium-v4 \
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--num_train_epochs 1 \
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--per_device_train_batch_size 128 \
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--learning_rate 1e-5 \
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--max_seq_length 32 \
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--evaluation_strategy steps \
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--metric_for_best_model stsb_spearman \
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--load_best_model_at_end \
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--pooler_type cls \
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--mlp_only_train \
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--do_mlm \
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--overwrite_output_dir \
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--temp 0.05 \
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--do_train \
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--fp16
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```
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config.json
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{
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"_name_or_path": "result/dfm-sentence-encoder-medium-v4",
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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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": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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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": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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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": 50000
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:537da485bf4ce22b7ece0467808210271465696a4cc35c4b554f420d7ad88221
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size 3259345285
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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:efd6af53a499aea8fd88afa68771609bf18d54610ef7208bc859f16ca9735917
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size 1629688773
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:37986d1575010a759d822e70ad0dc80073f4848bf67e05bd2ea41b3da2b1f0eb
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size 627
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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": false, "do_basic_tokenize": true, "name_or_path": "chcaa/dfm-encoder-large-v1", "never_split": null, "special_tokens_map_file": null, "tokenizer_class": "BertTokenizer", "model_max_length": 512}
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train_results.txt
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epoch = 1.0
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train_runtime = 47384.4879
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train_samples_per_second = 1.041
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trainer_state.json
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vocab.txt
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