tejaskamtam
commited on
Commit
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82c5997
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Parent(s):
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End of training
Browse files- README.md +16 -4
- all_results.json +5 -5
- eval_results.json +3 -3
- train_results.json +2 -2
- trainer_state.json +8 -8
README.md
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base_model: bert-base-uncased
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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: testing
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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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@@ -15,10 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
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# testing
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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datasets:
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- datasets/all_binary_and_xe_ey_fae_counterfactual
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metrics:
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- accuracy
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model-index:
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- name: testing
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results:
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- task:
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name: Masked Language Modeling
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type: fill-mask
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dataset:
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name: datasets/all_binary_and_xe_ey_fae_counterfactual
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type: datasets/all_binary_and_xe_ey_fae_counterfactual
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6740440005371309
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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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# testing
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the datasets/all_binary_and_xe_ey_fae_counterfactual dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7135
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- Accuracy: 0.6740
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## Model description
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all_results.json
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"epoch": 0.0,
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"eval_accuracy": 0.6740440005371309,
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"eval_loss": 1.7135361433029175,
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-
"eval_runtime": 79.
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"eval_samples": 15525,
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"eval_samples_per_second": 194.
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"eval_steps_per_second": 24.
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"perplexity": 5.548547286429599,
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"train_loss": 1.9919448852539063,
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"train_runtime": 161.
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"train_samples": 124124,
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"train_samples_per_second": 0.
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"train_steps_per_second": 0.062
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}
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"epoch": 0.0,
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"eval_accuracy": 0.6740440005371309,
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"eval_loss": 1.7135361433029175,
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"eval_runtime": 79.7989,
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"eval_samples": 15525,
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"eval_samples_per_second": 194.551,
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"eval_steps_per_second": 24.324,
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"perplexity": 5.548547286429599,
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"train_loss": 1.9919448852539063,
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"train_runtime": 161.5625,
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"train_samples": 124124,
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"train_samples_per_second": 0.99,
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"train_steps_per_second": 0.062
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}
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eval_results.json
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"epoch": 0.0,
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"eval_accuracy": 0.6740440005371309,
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"eval_loss": 1.7135361433029175,
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-
"eval_runtime": 79.
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"eval_samples": 15525,
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"eval_samples_per_second": 194.
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"eval_steps_per_second": 24.
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"perplexity": 5.548547286429599
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}
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"epoch": 0.0,
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"eval_accuracy": 0.6740440005371309,
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"eval_loss": 1.7135361433029175,
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"eval_runtime": 79.7989,
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"eval_samples": 15525,
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"eval_samples_per_second": 194.551,
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"eval_steps_per_second": 24.324,
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"perplexity": 5.548547286429599
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}
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train_results.json
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{
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"epoch": 0.0,
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"train_loss": 1.9919448852539063,
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-
"train_runtime": 161.
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"train_samples": 124124,
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"train_samples_per_second": 0.
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"train_steps_per_second": 0.062
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}
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{
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"epoch": 0.0,
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"train_loss": 1.9919448852539063,
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"train_runtime": 161.5625,
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"train_samples": 124124,
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"train_samples_per_second": 0.99,
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"train_steps_per_second": 0.062
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}
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trainer_state.json
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"epoch": 0.0,
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"eval_accuracy": 0.6649938341745655,
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"eval_loss": 1.775834321975708,
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"eval_runtime": 78.
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"eval_samples_per_second":
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"eval_steps_per_second": 24.
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"step": 5
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},
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{
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"epoch": 0.0,
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"eval_accuracy": 0.6735738398990131,
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"eval_loss": 1.719245433807373,
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"eval_runtime": 79.
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"eval_samples_per_second": 194.
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"eval_steps_per_second": 24.
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"step": 10
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},
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{
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"step": 10,
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"total_flos": 42112770048000.0,
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"train_loss": 1.9919448852539063,
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"train_runtime": 161.
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"train_samples_per_second": 0.
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}
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],
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"epoch": 0.0,
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"eval_runtime": 78.8594,
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"eval_samples_per_second": 196.869,
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"eval_steps_per_second": 24.613,
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"step": 5
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{
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"epoch": 0.0,
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{
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"step": 10,
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