artelabsuper
commited on
Commit
•
6424b22
1
Parent(s):
1ac048e
trained model
Browse files- README.md +62 -0
- all_results.json +28 -0
- config.json +60 -0
- eval_results.json +13 -0
- generated_predictions.txt +0 -0
- predict_results.json +12 -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 +1555 -0
- training_args.bin +3 -0
README.md
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---
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language:
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- it_IT
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- it_IT
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: summarization_mbart_mlsum
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# summarization_mbart_mlsum
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This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3336
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- Rouge1: 19.3489
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- Rouge2: 6.4028
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- Rougel: 16.3497
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- Rougelsum: 16.5387
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- Gen Len: 33.5945
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4.0
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### Training results
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### Framework versions
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- Transformers 4.15.0.dev0
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- Pytorch 1.10.0+cu102
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- Datasets 1.15.1
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- Tokenizers 0.10.3
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all_results.json
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{
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"epoch": 4.0,
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"eval_gen_len": 33.5945,
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"eval_loss": 3.3335702419281006,
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"eval_rouge1": 19.3489,
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"eval_rouge2": 6.4028,
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"eval_rougeL": 16.3497,
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"eval_rougeLsum": 16.5387,
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"eval_runtime": 2520.0092,
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"eval_samples": 4000,
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"eval_samples_per_second": 1.587,
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"eval_steps_per_second": 1.587,
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"predict_gen_len": 33.5382,
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"predict_loss": 3.2747132778167725,
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"predict_rouge1": 19.8687,
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"predict_rouge2": 6.6948,
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"predict_rougeL": 16.8896,
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"predict_rougeLsum": 17.0323,
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"predict_runtime": 2521.7344,
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"predict_samples": 4000,
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"predict_samples_per_second": 1.586,
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"predict_steps_per_second": 1.586,
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"train_loss": 2.0082999333540426,
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"train_runtime": 37501.9411,
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"train_samples": 31997,
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"train_samples_per_second": 3.413,
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"train_steps_per_second": 3.413
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}
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config.json
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{
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"_name_or_path": "facebook/mbart-large-cc25",
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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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"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": 250011,
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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_eos_token_id": 2,
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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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"task_specific_params": {
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"translation_en_to_ro": {
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"decoder_start_token_id": 250020
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.15.0.dev0",
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"use_cache": true,
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"vocab_size": 250027
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}
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eval_results.json
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{
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"epoch": 4.0,
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"eval_gen_len": 33.5945,
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"eval_loss": 3.3335702419281006,
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"eval_rouge1": 19.3489,
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"eval_rouge2": 6.4028,
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"eval_rougeL": 16.3497,
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"eval_rougeLsum": 16.5387,
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"eval_runtime": 2520.0092,
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"eval_samples": 4000,
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"eval_samples_per_second": 1.587,
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"eval_steps_per_second": 1.587
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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_gen_len": 33.5382,
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"predict_loss": 3.2747132778167725,
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| 4 |
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"predict_rouge1": 19.8687,
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| 5 |
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"predict_rouge2": 6.6948,
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| 6 |
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"predict_rougeL": 16.8896,
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| 7 |
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"predict_rougeLsum": 17.0323,
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| 8 |
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"predict_runtime": 2521.7344,
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| 9 |
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"predict_samples": 4000,
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| 10 |
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"predict_samples_per_second": 1.586,
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| 11 |
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"predict_steps_per_second": 1.586
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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 sha256:5620ecf7a04f9a3a233163ac428f89883750a719e79c7877fc39b5b6413f68b1
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size 2444599289
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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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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}, "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"]}
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tokenizer.json
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tokenizer_config.json
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{"bos_token": "<s>", "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"}, "src_lang": null, "tgt_lang": null, "additional_special_tokens": null, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "facebook/mbart-large-cc25", "tokenizer_class": "MBartTokenizer"}
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train_results.json
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{
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"epoch": 4.0,
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"train_loss": 2.0082999333540426,
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+
"train_runtime": 37501.9411,
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| 5 |
+
"train_samples": 31997,
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"train_samples_per_second": 3.413,
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"train_steps_per_second": 3.413
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}
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trainer_state.json
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training_args.bin
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@@ -0,0 +1,3 @@
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