Model save
Browse files- README.md +94 -0
- generation_config.json +6 -0
README.md
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---
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license: apache-2.0
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base_model: t5-base
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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- wer
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model-index:
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- name: randomization_model_new
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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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# randomization_model_new
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5870
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- Bleu: 0.0001
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- Wer: 0.9532
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- Rougel: 0.1256
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- Gen Len: 19.0
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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: 2e-05
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- train_batch_size: 10
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- eval_batch_size: 10
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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: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Wer | Rougel | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:-------:|
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| 2.5389 | 0.1 | 100 | 2.1621 | 0.0 | 0.9613 | 0.1062 | 18.9925 |
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| 2.509 | 0.2 | 200 | 2.0311 | 0.0 | 0.9589 | 0.1112 | 19.0 |
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| 2.4189 | 0.3 | 300 | 1.9480 | 0.0 | 0.9577 | 0.1143 | 18.9995 |
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| 2.3174 | 0.4 | 400 | 1.8855 | 0.0001 | 0.9569 | 0.1163 | 19.0 |
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| 2.2219 | 0.5 | 500 | 1.8416 | 0.0001 | 0.956 | 0.118 | 19.0 |
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| 2.1971 | 0.6 | 600 | 1.8083 | 0.0001 | 0.9556 | 0.1193 | 19.0 |
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| 2.1342 | 0.7 | 700 | 1.7758 | 0.0001 | 0.9551 | 0.1207 | 19.0 |
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| 2.179 | 0.8 | 800 | 1.7494 | 0.0001 | 0.955 | 0.121 | 19.0 |
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| 2.0986 | 0.9 | 900 | 1.7289 | 0.0001 | 0.9546 | 0.1219 | 19.0 |
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| 2.0907 | 1.0 | 1000 | 1.7141 | 0.0001 | 0.9542 | 0.1225 | 19.0 |
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| 2.0455 | 1.1 | 1100 | 1.6966 | 0.0001 | 0.9542 | 0.1229 | 19.0 |
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| 2.033 | 1.2 | 1200 | 1.6802 | 0.0001 | 0.954 | 0.1234 | 19.0 |
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| 2.0234 | 1.3 | 1300 | 1.6669 | 0.0001 | 0.9538 | 0.1234 | 19.0 |
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| 2.0025 | 1.4 | 1400 | 1.6557 | 0.0001 | 0.954 | 0.1236 | 19.0 |
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| 2.0098 | 1.5 | 1500 | 1.6467 | 0.0001 | 0.9539 | 0.1236 | 19.0 |
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| 1.9495 | 1.6 | 1600 | 1.6381 | 0.0001 | 0.9539 | 0.1242 | 19.0 |
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| 1.964 | 1.7 | 1700 | 1.6310 | 0.0001 | 0.9537 | 0.1244 | 19.0 |
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| 1.9228 | 1.8 | 1800 | 1.6233 | 0.0001 | 0.9537 | 0.1245 | 19.0 |
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| 1.9449 | 1.9 | 1900 | 1.6184 | 0.0001 | 0.9535 | 0.1248 | 19.0 |
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| 1.9273 | 2.0 | 2000 | 1.6118 | 0.0001 | 0.9536 | 0.1245 | 19.0 |
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| 1.9191 | 2.1 | 2100 | 1.6066 | 0.0001 | 0.9535 | 0.1248 | 19.0 |
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| 1.9337 | 2.2 | 2200 | 1.6031 | 0.0001 | 0.9534 | 0.1251 | 19.0 |
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| 1.9273 | 2.3 | 2300 | 1.5989 | 0.0001 | 0.9535 | 0.1253 | 19.0 |
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| 1.9076 | 2.4 | 2400 | 1.5945 | 0.0001 | 0.9535 | 0.1251 | 19.0 |
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| 1.8714 | 2.5 | 2500 | 1.5939 | 0.0001 | 0.9534 | 0.1253 | 19.0 |
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| 1.9247 | 2.6 | 2600 | 1.5915 | 0.0001 | 0.9533 | 0.1253 | 19.0 |
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| 1.8908 | 2.7 | 2700 | 1.5884 | 0.0001 | 0.9532 | 0.1256 | 19.0 |
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| 1.8858 | 2.8 | 2800 | 1.5875 | 0.0001 | 0.9532 | 0.1254 | 19.0 |
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| 1.9158 | 2.9 | 2900 | 1.5872 | 0.0001 | 0.9532 | 0.1256 | 19.0 |
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| 1.8725 | 3.0 | 3000 | 1.5870 | 0.0001 | 0.9532 | 0.1256 | 19.0 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.41.0"
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}
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