Commit
•
e9eb263
1
Parent(s):
aa4a90c
End of training
Browse files- README.md +16 -4
- all_results.json +16 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1732261180.ki-g0009.689944.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +920 -0
README.md
CHANGED
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@@ -2,11 +2,23 @@
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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_base_lda_100_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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# bert_base_lda_100_v1
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-
This model is a fine-tuned version of [](https://huggingface.co/) on
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It achieves the following results on the evaluation set:
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-
- Loss:
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-
- Accuracy: 0.
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## Model description
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library_name: transformers
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tags:
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- generated_from_trainer
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+
datasets:
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- gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100
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metrics:
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- accuracy
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model-index:
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- name: bert_base_lda_100_v1
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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_wikitext-103-raw-v1-ld-100
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type: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.42346160366163754
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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_lda_100_v1
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+
This model is a fine-tuned version of [](https://huggingface.co/) on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.9999
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- Accuracy: 0.4235
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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": 0.42346160366163754,
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+
"eval_loss": 6.99992561340332,
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+
"eval_runtime": 0.7858,
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+
"eval_samples": 479,
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+
"eval_samples_per_second": 609.589,
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"eval_steps_per_second": 6.363,
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+
"perplexity": 1096.5515866539579,
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"total_flos": 1.5161929390646784e+18,
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"train_loss": 9.134388991963654,
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+
"train_runtime": 17204.0061,
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"train_samples": 228639,
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"train_samples_per_second": 332.247,
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"train_steps_per_second": 3.461
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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": 0.42346160366163754,
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"eval_loss": 6.99992561340332,
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"eval_runtime": 0.7858,
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"eval_samples": 479,
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"eval_samples_per_second": 609.589,
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"eval_steps_per_second": 6.363,
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"perplexity": 1096.5515866539579
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}
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logs/events.out.tfevents.1732261180.ki-g0009.689944.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:e4ffdfeb53cf4cd5fefd482cfcc33722cb07efce646f4dfbc6eb39f8f2aff1aa
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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": 1.5161929390646784e+18,
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+
"train_loss": 9.134388991963654,
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+
"train_runtime": 17204.0061,
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+
"train_samples": 228639,
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"train_samples_per_second": 332.247,
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"train_steps_per_second": 3.461
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}
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trainer_state.json
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