Model save
Browse files- README.md +45 -6
- all_results.json +23 -6
- eval_nbest_predictions.json +2 -2
- eval_null_odds.json +102 -0
- eval_predictions.json +0 -0
- eval_results.json +20 -0
- model.safetensors +1 -1
- train_results.json +6 -6
- trainer_state.json +9 -933
- training_args.bin +1 -1
README.md
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---
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license: mit
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tags:
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---
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# tiny-clinicalbert-qa
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---
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library_name: transformers
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license: mit
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base_model: nlpie/tiny-clinicalbert
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tags:
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- generated_from_trainer
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model-index:
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- name: tiny-clinicalbert-qa
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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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# tiny-clinicalbert-qa
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This model is a fine-tuned version of [nlpie/tiny-clinicalbert](https://huggingface.co/nlpie/tiny-clinicalbert) on the None dataset.
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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: 12
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- eval_batch_size: 8
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- seed: 42
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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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- num_epochs: 2.0
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### Training results
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### Framework versions
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- Transformers 4.53.0
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- Pytorch 2.7.1+cu118
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- Datasets 3.6.0
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- Tokenizers 0.21.2
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all_results.json
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}
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{
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"epoch": 2.0,
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"eval_HasAns_exact": 0.0,
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"eval_HasAns_f1": 0.0,
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"eval_HasAns_total": 87,
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"eval_NoAns_exact": 100.0,
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"eval_NoAns_f1": 100.0,
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"eval_NoAns_total": 13,
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"eval_best_exact": 13.0,
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"eval_best_exact_thresh": 0.0,
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"eval_best_f1": 13.0,
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"eval_best_f1_thresh": 0.0,
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"eval_exact": 13.0,
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"eval_f1": 13.0,
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"eval_runtime": 0.446,
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"eval_samples": 100,
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"eval_samples_per_second": 224.2,
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"eval_steps_per_second": 29.146,
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"eval_total": 100,
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"total_flos": 2807799398400.0,
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"train_loss": 5.859864128960504,
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"train_runtime": 5.9882,
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"train_samples": 100,
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"train_samples_per_second": 33.399,
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"train_steps_per_second": 3.006
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}
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eval_nbest_predictions.json
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size
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version https://git-lfs.github.com/spec/v1
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size 274549
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eval_null_odds.json
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|
| 12 |
{
|
| 13 |
"epoch": 2.0,
|
| 14 |
+
"step": 18,
|
| 15 |
+
"total_flos": 2807799398400.0,
|
| 16 |
+
"train_loss": 5.859864128960504,
|
| 17 |
+
"train_runtime": 5.9882,
|
| 18 |
+
"train_samples_per_second": 33.399,
|
| 19 |
+
"train_steps_per_second": 3.006
|
| 20 |
}
|
| 21 |
],
|
| 22 |
"logging_steps": 500,
|
| 23 |
+
"max_steps": 18,
|
| 24 |
"num_input_tokens_seen": 0,
|
| 25 |
"num_train_epochs": 2,
|
| 26 |
"save_steps": 500,
|
|
|
|
| 36 |
"attributes": {}
|
| 37 |
}
|
| 38 |
},
|
| 39 |
+
"total_flos": 2807799398400.0,
|
| 40 |
"train_batch_size": 12,
|
| 41 |
"trial_name": null,
|
| 42 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5777
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fe9b3aaec2cbe16f62d12e6ae4c48c8dfa131fc333449a1b61956836034b5f3b
|
| 3 |
size 5777
|