Model save
Browse files- README.md +119 -0
- generation_config.json +6 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/mt5-base
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tags:
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- generated_from_trainer
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model-index:
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- name: bslm-entity-extraction-mt5-base-include-desc-normalized-tr243k
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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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# bslm-entity-extraction-mt5-base-include-desc-normalized-tr243k
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0123
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- Exact Match: 67.9183
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- F1 Score: 88.9881
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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: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 Score |
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|:-------------:|:------:|:-----:|:---------------:|:-----------:|:--------:|
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| 0.7787 | 0.0328 | 500 | 0.5270 | 0.0 | 0.0 |
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| 0.0903 | 0.0656 | 1000 | 0.0410 | 40.0656 | 75.4663 |
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| 0.0428 | 0.0984 | 1500 | 0.0276 | 49.4349 | 81.9724 |
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| 0.0462 | 0.1312 | 2000 | 0.0276 | 50.4375 | 81.5147 |
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| 0.0304 | 0.1640 | 2500 | 0.0232 | 54.2836 | 84.0088 |
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| 0.0274 | 0.1968 | 3000 | 0.0218 | 55.7237 | 84.5312 |
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| 0.0251 | 0.2296 | 3500 | 0.0205 | 56.7262 | 84.8972 |
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| 0.0252 | 0.2624 | 4000 | 0.0209 | 55.0492 | 84.5563 |
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| 0.0236 | 0.2953 | 4500 | 0.0185 | 60.2443 | 86.0929 |
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| 0.0221 | 0.3281 | 5000 | 0.0194 | 57.6376 | 85.3742 |
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| 0.0226 | 0.3609 | 5500 | 0.0179 | 61.3015 | 86.3940 |
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| 0.025 | 0.3937 | 6000 | 0.0176 | 59.8979 | 86.1283 |
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| 0.0211 | 0.4265 | 6500 | 0.0178 | 60.5177 | 86.3265 |
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| 0.0206 | 0.4593 | 7000 | 0.0166 | 61.3380 | 86.6077 |
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| 0.0194 | 0.4921 | 7500 | 0.0170 | 60.3536 | 86.3744 |
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| 0.0184 | 0.5249 | 8000 | 0.0159 | 63.2155 | 87.2735 |
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| 0.0192 | 0.5577 | 8500 | 0.0164 | 61.8848 | 86.8659 |
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| 0.0181 | 0.5905 | 9000 | 0.0158 | 62.1035 | 86.9785 |
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| 0.0186 | 0.6233 | 9500 | 0.0156 | 62.7598 | 87.2376 |
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| 0.018 | 0.6561 | 10000 | 0.0151 | 64.2727 | 87.6065 |
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| 0.0171 | 0.6889 | 10500 | 0.0154 | 62.6139 | 87.2134 |
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| 0.0183 | 0.7217 | 11000 | 0.0145 | 64.7102 | 87.8215 |
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| 0.0182 | 0.7545 | 11500 | 0.0150 | 62.9420 | 87.3372 |
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| 0.017 | 0.7873 | 12000 | 0.0141 | 65.0747 | 87.9349 |
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| 0.0183 | 0.8202 | 12500 | 0.0148 | 62.6504 | 87.2310 |
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| 0.0179 | 0.8530 | 13000 | 0.0138 | 65.4575 | 87.9886 |
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| 0.017 | 0.8858 | 13500 | 0.0136 | 65.8221 | 88.1741 |
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| 0.0168 | 0.9186 | 14000 | 0.0140 | 64.6555 | 87.8573 |
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| 0.017 | 0.9514 | 14500 | 0.0135 | 66.2778 | 88.3458 |
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| 0.0174 | 0.9842 | 15000 | 0.0140 | 64.8195 | 88.0423 |
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| 0.0154 | 1.0170 | 15500 | 0.0138 | 65.8039 | 88.2375 |
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| 0.0154 | 1.0498 | 16000 | 0.0135 | 66.3507 | 88.3934 |
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| 0.015 | 1.0826 | 16500 | 0.0135 | 65.9861 | 88.3272 |
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| 0.0151 | 1.1154 | 17000 | 0.0139 | 65.5851 | 88.2204 |
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| 0.0153 | 1.1482 | 17500 | 0.0131 | 67.5355 | 88.7772 |
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| 0.0148 | 1.1810 | 18000 | 0.0136 | 66.3507 | 88.4478 |
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| 0.015 | 1.2138 | 18500 | 0.0134 | 66.4054 | 88.5039 |
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| 0.0154 | 1.2466 | 19000 | 0.0133 | 66.5877 | 88.5994 |
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| 0.0139 | 1.2794 | 19500 | 0.0132 | 66.1502 | 88.4829 |
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| 0.0156 | 1.3122 | 20000 | 0.0131 | 66.9705 | 88.6868 |
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| 0.016 | 1.3451 | 20500 | 0.0127 | 67.0252 | 88.7032 |
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| 0.0143 | 1.3779 | 21000 | 0.0130 | 67.0252 | 88.7021 |
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| 0.0159 | 1.4107 | 21500 | 0.0128 | 67.2803 | 88.8236 |
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| 0.0133 | 1.4435 | 22000 | 0.0129 | 67.3168 | 88.8505 |
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| 0.0131 | 1.4763 | 22500 | 0.0127 | 67.1892 | 88.8617 |
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| 0.0137 | 1.5091 | 23000 | 0.0130 | 67.0434 | 88.7488 |
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| 0.0133 | 1.5419 | 23500 | 0.0126 | 67.6449 | 88.9151 |
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| 0.0144 | 1.5747 | 24000 | 0.0127 | 67.3533 | 88.8633 |
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| 0.0142 | 1.6075 | 24500 | 0.0125 | 67.4809 | 88.9516 |
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| 0.0136 | 1.6403 | 25000 | 0.0128 | 66.8246 | 88.7465 |
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| 0.0139 | 1.6731 | 25500 | 0.0132 | 66.0955 | 88.5128 |
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| 0.0126 | 1.7059 | 26000 | 0.0127 | 67.8090 | 89.0277 |
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| 0.0135 | 1.7387 | 26500 | 0.0126 | 67.5173 | 88.9308 |
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| 0.0141 | 1.7715 | 27000 | 0.0124 | 67.6449 | 88.9314 |
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| 0.0138 | 1.8043 | 27500 | 0.0123 | 68.0095 | 89.0386 |
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| 0.0141 | 1.8371 | 28000 | 0.0123 | 68.0095 | 88.9919 |
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| 0.0142 | 1.8700 | 28500 | 0.0121 | 68.4470 | 89.0863 |
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| 0.0147 | 1.9028 | 29000 | 0.0124 | 67.8454 | 88.9933 |
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| 0.0135 | 1.9356 | 29500 | 0.0124 | 67.6814 | 88.9077 |
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| 0.014 | 1.9684 | 30000 | 0.0123 | 67.9183 | 88.9881 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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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": "4.45.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 2329638768
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e9ca827fdfd76525dfdae77b0430e186c0e893ddc9011b580835c1a53ec08f6
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size 2329638768
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