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model_v3_v2

Text2Text Generation
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Safetensors
bart
Generated from Trainer
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  1. README.md +103 -0
  2. generation_config.json +12 -0
  3. model.safetensors +1 -1
  4. runs/May26_06-54-36_257b58ae2cb4/events.out.tfevents.1716706627.257b58ae2cb4.24.0 +2 -2
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/bart-large
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+ tags:
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+ - text2text-generation
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+ - generated_from_trainer
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+ metrics:
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+ - sacrebleu
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+ model-index:
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+ - name: model_v3_v2
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+ results: []
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+ ---
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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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+
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+ # model_v3_v2
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+
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+ This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1977
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+ - Sacrebleu: 66.7256
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 256
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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: 40
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|
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+ | No log | 0.99 | 54 | 0.5648 | 65.7974 |
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+ | No log | 1.99 | 109 | 0.6224 | 66.8854 |
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+ | No log | 3.0 | 164 | 0.6639 | 66.8333 |
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+ | No log | 4.0 | 219 | 0.5929 | 66.7857 |
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+ | No log | 4.99 | 273 | 0.6427 | 65.8395 |
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+ | No log | 5.99 | 328 | 0.6721 | 66.4172 |
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+ | No log | 7.0 | 383 | 0.7511 | 66.4660 |
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+ | No log | 8.0 | 438 | 0.7662 | 66.6480 |
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+ | No log | 8.99 | 492 | 0.7588 | 66.5092 |
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+ | No log | 9.99 | 547 | 0.7916 | 66.5144 |
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+ | No log | 11.0 | 602 | 0.8172 | 66.6279 |
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+ | No log | 12.0 | 657 | 0.8350 | 66.5607 |
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+ | No log | 12.99 | 711 | 0.8809 | 66.6095 |
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+ | No log | 13.99 | 766 | 0.8843 | 66.4089 |
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+ | No log | 15.0 | 821 | 1.0130 | 66.5184 |
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+ | No log | 16.0 | 876 | 0.9180 | 66.4269 |
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+ | No log | 16.99 | 930 | 0.9794 | 66.5766 |
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+ | No log | 17.99 | 985 | 0.9450 | 66.6713 |
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+ | No log | 19.0 | 1040 | 0.9880 | 66.7081 |
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+ | No log | 20.0 | 1095 | 0.9540 | 66.4440 |
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+ | No log | 20.99 | 1149 | 1.0552 | 66.5390 |
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+ | No log | 21.99 | 1204 | 0.9806 | 66.5975 |
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+ | No log | 23.0 | 1259 | 1.0528 | 66.6404 |
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+ | No log | 24.0 | 1314 | 1.0348 | 66.4127 |
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+ | No log | 24.99 | 1368 | 1.0758 | 66.6139 |
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+ | No log | 25.99 | 1423 | 1.1291 | 66.6778 |
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+ | No log | 27.0 | 1478 | 1.1112 | 66.6411 |
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+ | No log | 28.0 | 1533 | 1.1305 | 66.5986 |
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+ | No log | 28.99 | 1587 | 1.1532 | 66.5047 |
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+ | No log | 29.99 | 1642 | 1.1106 | 66.5662 |
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+ | No log | 31.0 | 1697 | 1.2084 | 66.6593 |
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+ | No log | 32.0 | 1752 | 1.1438 | 66.6117 |
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+ | No log | 32.99 | 1806 | 1.1956 | 66.6758 |
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+ | No log | 33.99 | 1861 | 1.1630 | 66.7359 |
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+ | No log | 35.0 | 1916 | 1.1570 | 66.6989 |
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+ | No log | 36.0 | 1971 | 1.1754 | 66.6495 |
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+ | No log | 36.99 | 2025 | 1.2456 | 66.7018 |
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+ | No log | 37.99 | 2080 | 1.2197 | 66.7990 |
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+ | No log | 39.0 | 2135 | 1.1886 | 66.7049 |
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+ | No log | 39.45 | 2160 | 1.1977 | 66.7256 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
generation_config.json ADDED
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+ {
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "early_stopping": true,
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+ "eos_token_id": 2,
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+ "forced_bos_token_id": 0,
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+ "forced_eos_token_id": 2,
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.39.3"
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+ }
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