Chemsseddine
commited on
Commit
•
4125a33
1
Parent(s):
fc7e173
Training in progress, step 500
Browse files- .gitignore +1 -0
- config.json +185 -0
- pytorch_model.bin +3 -0
- runs/Jun20_22-25-29_b5ca790c23ed/1655763951.0567214/events.out.tfevents.1655763951.b5ca790c23ed.77.1 +3 -0
- runs/Jun20_22-25-29_b5ca790c23ed/events.out.tfevents.1655763951.b5ca790c23ed.77.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "Chemsseddine/bert2gpt2SUMM-finetuned-mlsum",
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"architectures": [
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"EncoderDecoderModel"
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],
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"decoder": {
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"_name_or_path": "cahya/gpt2-small-indonesian-522M",
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"activation_function": "gelu_new",
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"add_cross_attention": true,
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"architectures": [
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"GPT2LMHeadModel"
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],
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"early_stopping": false,
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"gradient_checkpointing": false,
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"1": "LABEL_1"
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},
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"layer_norm_epsilon": 1e-05,
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"length_penalty": 1.0,
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"max_length": 20,
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"min_length": 0,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": null,
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"temperature": 1.0,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"top_k": 50,
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"top_p": 1.0,
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"torchscript": false,
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"transformers_version": "4.20.0",
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"typical_p": 1.0,
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"use_cache": true,
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"vocab_size": 50257
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},
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"decoder_start_token_id": 3,
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"early_stopping": true,
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"encoder": {
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"_name_or_path": "cahya/bert-base-indonesian-1.5G",
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"add_cross_attention": false,
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"architectures": [
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"BertForMaskedLM"
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],
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"hidden_act": "gelu",
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layer_norm_eps": 1e-12,
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"length_penalty": 1.0,
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"model_type": "bert",
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"num_attention_heads": 12,
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"typical_p": 1.0,
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"length_penalty": 2.0,
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"max_length": 40,
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"min_length": 20,
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"model_type": "encoder-decoder",
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"no_repeat_ngram_size": 3,
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"num_beams": 10,
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"pad_token_id": 2,
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"torch_dtype": "float32",
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"transformers_version": null,
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"vocab_size": 50257
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}
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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:c3bedd50a22a1541e12184deb65c8bcdfc90361773886a1988df74d4e8b11e56
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size 1079030377
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runs/Jun20_22-25-29_b5ca790c23ed/1655763951.0567214/events.out.tfevents.1655763951.b5ca790c23ed.77.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2501f627d78a38d64458ac5b6c8503d8d6cb605bc41c77ed77cf1f2ee55ebad
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size 5664
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runs/Jun20_22-25-29_b5ca790c23ed/events.out.tfevents.1655763951.b5ca790c23ed.77.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d94b414620834eb0c6a9e8ea254a4acc66ebd48883e4b2d3911d9b76d4c02e52
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size 8353
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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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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"full_tokenizer_file": null,
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"mask_token": "[MASK]",
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"name_or_path": "Chemsseddine/bert2gpt2SUMM-finetuned-mlsum",
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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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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:35f72dc9ff727383eab1e3027945b4f6e6046b55c84921ffa59ab4429e6bd0e1
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size 3503
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vocab.txt
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The diff for this file is too large to render.
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