tejaskamtam
commited on
Commit
•
97121e7
1
Parent(s):
bd2c029
End of training
Browse files- README.md +16 -4
- all_results.json +15 -0
- eval_results.json +10 -0
- train_results.json +8 -0
- trainer_state.json +645 -0
README.md
CHANGED
@@ -3,11 +3,23 @@ license: apache-2.0
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base_model: google/electra-base-generator
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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: electra-base-finetuned-xe_ey_fae
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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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# electra-base-finetuned-xe_ey_fae
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-
This model is a fine-tuned version of [google/electra-base-generator](https://huggingface.co/google/electra-base-generator) 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: google/electra-base-generator
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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: electra-base-finetuned-xe_ey_fae
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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: 0.667333329363415
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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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# electra-base-finetuned-xe_ey_fae
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+
This model is a fine-tuned version of [google/electra-base-generator](https://huggingface.co/google/electra-base-generator) 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: 1.7211
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- Accuracy: 0.6673
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## Model description
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all_results.json
ADDED
@@ -0,0 +1,15 @@
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{
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"epoch": 2.64,
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"eval_accuracy": 0.667333329363415,
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"eval_loss": 1.7211331129074097,
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"eval_runtime": 36.3378,
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"eval_samples": 15525,
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"eval_samples_per_second": 427.241,
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"eval_steps_per_second": 53.415,
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"perplexity": 5.59085995202853,
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"train_loss": 1.9300706578696647,
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"train_runtime": 3479.9405,
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"train_samples": 124124,
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"train_samples_per_second": 107.005,
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"train_steps_per_second": 6.688
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}
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eval_results.json
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{
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"epoch": 2.64,
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"eval_accuracy": 0.667333329363415,
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"eval_loss": 1.7211331129074097,
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"eval_runtime": 36.3378,
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"eval_samples": 15525,
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"eval_samples_per_second": 427.241,
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"eval_steps_per_second": 53.415,
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"perplexity": 5.59085995202853
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}
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train_results.json
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{
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"epoch": 2.64,
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"train_loss": 1.9300706578696647,
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"train_runtime": 3479.9405,
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"train_samples": 124124,
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"train_samples_per_second": 107.005,
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"train_steps_per_second": 6.688
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}
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trainer_state.json
ADDED
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{
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