gokulsrinivasagan
commited on
End of training
Browse files- README.md +16 -4
- all_results.json +16 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1733601151.ki-g0009.1454966.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +0 -0
README.md
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@@ -4,11 +4,23 @@ license: apache-2.0
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base_model: distilbert-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: bert_base_train_book
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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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@@ -16,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
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# bert_base_train_book
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-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: distilbert-base-uncased
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tags:
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- generated_from_trainer
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datasets:
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- gokulsrinivasagan/processed_book_corpus_cleaned
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metrics:
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- accuracy
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model-index:
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- name: bert_base_train_book
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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: gokulsrinivasagan/processed_book_corpus_cleaned
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type: gokulsrinivasagan/processed_book_corpus_cleaned
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7530519758192171
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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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# bert_base_train_book
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the gokulsrinivasagan/processed_book_corpus_cleaned dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0775
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- Accuracy: 0.7531
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## Model description
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all_results.json
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{
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"epoch": 25.0,
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"eval_accuracy": 0.7530519758192171,
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"eval_loss": 1.0775210857391357,
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"eval_runtime": 182.4452,
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"eval_samples": 120706,
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"eval_samples_per_second": 661.601,
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"eval_steps_per_second": 6.895,
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"perplexity": 2.937388983012658,
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"total_flos": 1.498518436978944e+19,
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"train_loss": 2.334269580478457,
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"train_runtime": 190366.3414,
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"train_samples": 2277342,
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"train_samples_per_second": 299.074,
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"train_steps_per_second": 3.115
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}
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eval_results.json
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{
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"epoch": 25.0,
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"eval_accuracy": 0.7530519758192171,
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"eval_loss": 1.0775210857391357,
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"eval_runtime": 182.4452,
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"eval_samples": 120706,
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"eval_samples_per_second": 661.601,
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"eval_steps_per_second": 6.895,
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"perplexity": 2.937388983012658
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}
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logs/events.out.tfevents.1733601151.ki-g0009.1454966.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:305037dd027e16484eac517b6aa2c1abcf26ebfefbafce50ad2676b698087ca3
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size 417
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train_results.json
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{
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"epoch": 25.0,
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"total_flos": 1.498518436978944e+19,
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"train_loss": 2.334269580478457,
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"train_runtime": 190366.3414,
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"train_samples": 2277342,
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"train_samples_per_second": 299.074,
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"train_steps_per_second": 3.115
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}
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trainer_state.json
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