add MT model
Browse files- all_results.json +15 -0
- config.json +63 -0
- generated_predictions.txt +0 -0
- predict_results.json +9 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +391 -0
- training_args.bin +3 -0
all_results.json
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{
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"epoch": 10.0,
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"predict_bleu": 22.7826,
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"predict_gen_len": 37.9809,
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"predict_loss": 2.775963068008423,
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"predict_runtime": 750.3637,
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"predict_samples": 1835,
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"predict_samples_per_second": 2.445,
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"predict_steps_per_second": 0.245,
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"train_loss": 0.6537484721883469,
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"train_runtime": 11168.7196,
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"train_samples": 30782,
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"train_samples_per_second": 27.561,
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"train_steps_per_second": 2.757
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}
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config.json
ADDED
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{
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"_name_or_path": "/data/users/didelani/afribart/afrimbart",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"adapters": {
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"adapters": {},
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"config_map": {},
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"fusion_config_map": {},
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"fusions": {}
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},
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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": 0.0,
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"bos_token_id": 0,
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"classif_dropout": 0.0,
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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": 250020,
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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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"forced_bos_token_id": 250043,
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_length": 1024,
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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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"torch_dtype": "float32",
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"transformers_version": "4.10.3",
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"use_cache": true,
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"vocab_size": 250054
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}
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generated_predictions.txt
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predict_results.json
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{
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"predict_bleu": 22.7826,
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"predict_gen_len": 37.9809,
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"predict_loss": 2.775963068008423,
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"predict_runtime": 750.3637,
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"predict_samples": 1835,
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"predict_samples_per_second": 2.445,
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"predict_steps_per_second": 0.245
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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:fa4aa999b02855c7d63a3b03d543dd1b2adcc12e72787f7a3ffd51efbcba6936
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size 2444723641
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sentencepiece.bpe.model
ADDED
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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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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>", "additional_special_tokens": ["ar_AR", "cs_CZ", "de_DE", "en_XX", "es_XX", "et_EE", "fi_FI", "fr_XX", "gu_IN", "hi_IN", "it_IT", "ja_XX", "kk_KZ", "ko_KR", "lt_LT", "lv_LV", "my_MM", "ne_NP", "nl_XX", "ro_RO", "ru_RU", "si_LK", "tr_TR", "vi_VN", "zh_CN", "af_ZA", "az_AZ", "bn_IN", "fa_IR", "he_IL", "hr_HR", "id_ID", "ka_GE", "km_KH", "mk_MK", "ml_IN", "mn_MN", "mr_IN", "pl_PL", "ps_AF", "pt_XX", "sv_SE", "sw_KE", "ta_IN", "te_IN", "th_TH", "tl_XX", "uk_UA", "ur_PK", "xh_ZA", "gl_ES", "sl_SI"]}
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tokenizer.json
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tokenizer_config.json
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{"src_lang": null, "tgt_lang": null, "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": "<s>", "model_max_length": 1024, "name_or_path": "/data/users/didelani/afribart/afrimbart", "special_tokens_map_file": "/home/suraj/projects/mbart-50/hf_models/mbart-50-large/special_tokens_map.json", "additional_special_tokens": ["ar_AR", "cs_CZ", "de_DE", "en_XX", "es_XX", "et_EE", "fi_FI", "fr_XX", "gu_IN", "hi_IN", "it_IT", "ja_XX", "kk_KZ", "ko_KR", "lt_LT", "lv_LV", "my_MM", "ne_NP", "nl_XX", "ro_RO", "ru_RU", "si_LK", "tr_TR", "vi_VN", "zh_CN", "af_ZA", "az_AZ", "bn_IN", "fa_IR", "he_IL", "hr_HR", "id_ID", "ka_GE", "km_KH", "mk_MK", "ml_IN", "mn_MN", "mr_IN", "pl_PL", "ps_AF", "pt_XX", "sv_SE", "sw_KE", "ta_IN", "te_IN", "th_TH", "tl_XX", "uk_UA", "ur_PK", "xh_ZA", "gl_ES", "sl_SI"], "sp_model_kwargs": {}, "tokenizer_class": "MBart50Tokenizer"}
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train_results.json
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{
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"epoch": 10.0,
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"train_loss": 0.6537484721883469,
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"train_runtime": 11168.7196,
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"train_samples_per_second": 27.561,
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"train_steps_per_second": 2.757
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}
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trainer_state.json
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