Model save
Browse files- README.md +94 -0
- logs/events.out.tfevents.1739214822.ki-g0009.18398.0 +2 -2
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: bert_tiny_olda_book_5_v1
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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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# bert_tiny_olda_book_5_v1
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4052
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- Accuracy: 0.0003
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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: 0.0001
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- train_batch_size: 160
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- eval_batch_size: 160
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- seed: 10
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10000
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- num_epochs: 25
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:------:|:---------------:|:--------:|
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| 1.4427 | 0.7025 | 10000 | 1.4406 | 0.0001 |
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| 1.4355 | 1.4051 | 20000 | 1.4316 | 0.0000 |
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| 1.433 | 2.1076 | 30000 | 1.4302 | 0.0000 |
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| 1.4306 | 2.8102 | 40000 | 1.4287 | 0.0000 |
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| 1.431 | 3.5127 | 50000 | 1.4299 | 0.0000 |
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| 1.4295 | 4.2153 | 60000 | 1.4261 | 0.0000 |
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| 1.4266 | 4.9178 | 70000 | 1.4238 | 0.0000 |
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| 1.4205 | 5.6203 | 80000 | 1.4168 | 0.0000 |
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| 1.4191 | 6.3229 | 90000 | 1.4146 | 0.0001 |
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| 1.419 | 7.0254 | 100000 | 1.4147 | 0.0001 |
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| 1.4181 | 7.7280 | 110000 | 1.4134 | 0.0001 |
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| 1.4163 | 8.4305 | 120000 | 1.4129 | 0.0001 |
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| 1.4164 | 9.1331 | 130000 | 1.4111 | 0.0002 |
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| 1.4147 | 9.8356 | 140000 | 1.4100 | 0.0002 |
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| 1.414 | 10.5381 | 150000 | 1.4106 | 0.0002 |
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| 1.4141 | 11.2407 | 160000 | 1.4098 | 0.0002 |
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| 1.413 | 11.9432 | 170000 | 1.4093 | 0.0003 |
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| 1.4124 | 12.6458 | 180000 | 1.4087 | 0.0003 |
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| 1.4114 | 13.3483 | 190000 | 1.4078 | 0.0002 |
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| 1.4115 | 14.0509 | 200000 | 1.4078 | 0.0002 |
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| 1.4104 | 14.7534 | 210000 | 1.4080 | 0.0003 |
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| 1.411 | 15.4560 | 220000 | 1.4075 | 0.0003 |
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| 1.411 | 16.1585 | 230000 | 1.4069 | 0.0003 |
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| 1.4104 | 16.8610 | 240000 | 1.4066 | 0.0003 |
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| 1.4102 | 17.5636 | 250000 | 1.4068 | 0.0003 |
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| 1.4094 | 18.2661 | 260000 | 1.4064 | 0.0003 |
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| 1.4096 | 18.9687 | 270000 | 1.4059 | 0.0003 |
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| 1.4098 | 19.6712 | 280000 | 1.4059 | 0.0003 |
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| 1.409 | 20.3738 | 290000 | 1.4058 | 0.0002 |
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| 1.4081 | 21.0763 | 300000 | 1.4057 | 0.0003 |
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| 1.4082 | 21.7788 | 310000 | 1.4052 | 0.0003 |
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| 1.4084 | 22.4814 | 320000 | 1.4054 | 0.0003 |
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| 1.4088 | 23.1839 | 330000 | 1.4052 | 0.0002 |
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| 1.4088 | 23.8865 | 340000 | 1.4050 | 0.0003 |
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| 1.4084 | 24.5890 | 350000 | 1.4052 | 0.0003 |
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.2.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.1
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logs/events.out.tfevents.1739214822.ki-g0009.18398.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 169418
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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version https://git-lfs.github.com/spec/v1
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