Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +36 -0
- config.json +46 -0
- generation_config.json +10 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +36 -0
- tokenizer.json +3 -0
- tokenizer_config.json +23 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.bin.* filter=lfs diff=lfs merge=lfs -text
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*.tar.gz filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- autotrain
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- summarization
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language:
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- unk
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- DmitriyVasiliev/autotrain-data-mbart-rua-sent-dia
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co2_eq_emissions:
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emissions: 4.360921475605774
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---
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# Model Trained Using AutoTrain
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- Problem type: Summarization
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- Model ID: 55462129227
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- CO2 Emissions (in grams): 4.3609
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## Validation Metrics
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- Loss: 1.615
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- Rouge1: 5.000
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- Rouge2: 1.917
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- RougeL: 5.035
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- RougeLsum: 4.980
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- Gen Len: 32.397
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## Usage
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You can use cURL to access this model:
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```
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$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/DmitriyVasiliev/autotrain-mbart-rua-sent-dia-55462129227
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```
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config.json
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{
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"_name_or_path": "AutoTrain",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_bias_logits": false,
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"add_final_layer_norm": true,
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"architectures": [
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"MBartForConditionalGeneration"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": 0.0,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 250021,
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"dropout": 0.1,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"eos_token_id": 2,
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"extra_pos_embeddings": 2,
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"force_bos_token_to_be_generated": false,
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"forced_eos_token_id": 2,
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"max_length": 200,
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"max_position_embeddings": 1024,
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"model_type": "mbart",
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"normalize_before": true,
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"normalize_embedding": true,
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"num_beams": 5,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"scale_embedding": true,
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"static_position_embeddings": false,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.28.1",
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"use_cache": true,
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"vocab_size": 250027
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}
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generation_config.json
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{
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"bos_token_id": 0,
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"decoder_start_token_id": 250021,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"max_length": 200,
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"num_beams": 5,
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"pad_token_id": 1,
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"transformers_version": "4.28.1"
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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 sha256:51d3a7645ef834550d3886f1417ffd67a915c653a1248831cc3a9ba0bc00af30
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size 3468694113
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
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size 5069051
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"ar_AR",
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"cs_CZ",
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"de_DE",
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"en_XX",
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"es_XX",
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"et_EE",
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"fi_FI",
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"fr_XX",
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"gu_IN",
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"hi_IN",
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"it_IT",
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"ja_XX",
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"kk_KZ",
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"ko_KR",
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"lt_LT",
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"lv_LV",
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"my_MM",
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"ne_NP",
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"nl_XX",
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"ro_RO",
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"ru_RU",
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"si_LK",
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"tr_TR",
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"vi_VN",
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"zh_CN"
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],
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:fea3cc40a7d53e07420368549ab16f2ae1a453502d492a8b265f8e714ff634d7
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size 17088343
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tokenizer_config.json
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{
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"additional_special_tokens": null,
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"__type": "AddedToken",
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 1024,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"src_lang": "en_XX",
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"tgt_lang": "ru_RU",
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"tokenizer_class": "MBartTokenizer",
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"unk_token": "<unk>"
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}
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