artelabsuper
commited on
Commit
•
db7427b
1
Parent(s):
2963f0d
trained model
Browse files- README.md +59 -0
- all_results.json +28 -0
- config.json +29 -0
- eval_results.json +13 -0
- generated_predictions.txt +0 -0
- predict_results.json +12 -0
- pytorch_model.bin +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 +1099 -0
- training_args.bin +3 -0
README.md
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---
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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_fanpage128
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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_fanpage128
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This model is a fine-tuned version of [gsarti/it5-base](https://huggingface.co/gsarti/it5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5492
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- Rouge1: 33.8286
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- Rouge2: 15.4551
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- Rougel: 24.9001
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- Rougelsum: 28.3133
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- Gen Len: 69.7954
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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: 3
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- eval_batch_size: 3
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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 4.12.0.dev0
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- Pytorch 1.9.1+cu102
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- Datasets 1.12.1
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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": 69.7954,
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"eval_loss": 1.549155831336975,
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"eval_rouge1": 33.8286,
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"eval_rouge2": 15.4551,
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"eval_rougeL": 24.9001,
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"eval_rougeLsum": 28.3133,
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"eval_runtime": 3492.8584,
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"eval_samples": 8436,
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"eval_samples_per_second": 2.415,
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"eval_steps_per_second": 0.805,
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"predict_gen_len": 69.3041,
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"predict_loss": 1.5348224639892578,
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"predict_rouge1": 34.1882,
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"predict_rouge2": 15.7866,
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"predict_rougeL": 25.141,
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"predict_rougeLsum": 28.4882,
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"predict_runtime": 3479.9848,
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"predict_samples": 8437,
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"predict_samples_per_second": 2.424,
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"predict_steps_per_second": 0.808,
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"train_loss": 1.6458884161285257,
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"train_runtime": 76560.3935,
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"train_samples": 67492,
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"train_samples_per_second": 3.526,
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"train_steps_per_second": 1.175
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}
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config.json
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{
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"_name_or_path": "gsarti/it5-base",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"gradient_checkpointing": false,
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"num_decoder_layers": 12,
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"num_heads": 12,
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"num_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.12.0.dev0",
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"use_cache": true,
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"vocab_size": 32103
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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": 69.7954,
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"eval_loss": 1.549155831336975,
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"eval_rouge1": 33.8286,
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"eval_rouge2": 15.4551,
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"eval_rougeL": 24.9001,
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"eval_rougeLsum": 28.3133,
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"eval_runtime": 3492.8584,
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"eval_samples": 8436,
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"eval_samples_per_second": 2.415,
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"eval_steps_per_second": 0.805
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}
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generated_predictions.txt
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The diff for this file is too large to render.
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predict_results.json
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{
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"predict_gen_len": 69.3041,
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"predict_loss": 1.5348224639892578,
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"predict_rouge1": 34.1882,
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"predict_rouge2": 15.7866,
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"predict_rougeL": 25.141,
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"predict_rougeLsum": 28.4882,
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"predict_runtime": 3479.9848,
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"predict_samples": 8437,
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"predict_samples_per_second": 2.424,
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"predict_steps_per_second": 0.808
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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 sha256:1c0524edc93a24fa7f771f42e288519e09498fb9379d71013cd91400f557efe0
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size 990284749
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special_tokens_map.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"]}
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tokenizer.json
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tokenizer_config.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 100, "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"], "special_tokens_map_file": null, "name_or_path": "gsarti/it5-base", "tokenizer_class": "T5Tokenizer"}
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train_results.json
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{
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"epoch": 4.0,
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"train_loss": 1.6458884161285257,
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"train_runtime": 76560.3935,
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| 5 |
+
"train_samples": 67492,
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| 6 |
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"train_samples_per_second": 3.526,
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"train_steps_per_second": 1.175
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}
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trainer_state.json
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@@ -0,0 +1,3 @@
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