kanishka commited on
Commit
4689630
1 Parent(s): 1258b98

End of training

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Files changed (5) hide show
  1. README.md +14 -2
  2. all_results.json +15 -0
  3. eval_results.json +10 -0
  4. train_results.json +8 -0
  5. trainer_state.json +0 -0
README.md CHANGED
@@ -1,11 +1,23 @@
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  ---
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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: smolm-autoreg-bpe-counterfactual-babylm-indef_articles_with_pl_nouns_removal-1e-3
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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
@@ -13,7 +25,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # smolm-autoreg-bpe-counterfactual-babylm-indef_articles_with_pl_nouns_removal-1e-3
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- This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 3.4176
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  - Accuracy: 0.4125
 
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  ---
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - kanishka/counterfactual_babylm_aann_indef_articles_with_pl_nouns_removal
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  metrics:
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  - accuracy
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  model-index:
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  - name: smolm-autoreg-bpe-counterfactual-babylm-indef_articles_with_pl_nouns_removal-1e-3
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+ results:
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+ - task:
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+ name: Causal Language Modeling
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+ type: text-generation
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+ dataset:
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+ name: kanishka/counterfactual_babylm_aann_indef_articles_with_pl_nouns_removal
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+ type: kanishka/counterfactual_babylm_aann_indef_articles_with_pl_nouns_removal
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.41252109443859236
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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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  # smolm-autoreg-bpe-counterfactual-babylm-indef_articles_with_pl_nouns_removal-1e-3
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+ This model was trained from scratch on the kanishka/counterfactual_babylm_aann_indef_articles_with_pl_nouns_removal dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 3.4176
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  - Accuracy: 0.4125
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 20.0,
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+ "eval_accuracy": 0.41252109443859236,
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+ "eval_loss": 3.417576313018799,
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+ "eval_runtime": 147.5666,
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+ "eval_samples": 57920,
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+ "eval_samples_per_second": 392.501,
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+ "eval_steps_per_second": 6.133,
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+ "perplexity": 30.495414041670983,
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+ "train_loss": 2.994195082282441,
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+ "train_runtime": 55239.7487,
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+ "train_samples": 595216,
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+ "train_samples_per_second": 215.503,
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+ "train_steps_per_second": 13.469
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 20.0,
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+ "eval_accuracy": 0.41252109443859236,
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+ "eval_loss": 3.417576313018799,
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+ "eval_runtime": 147.5666,
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+ "eval_samples": 57920,
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+ "eval_samples_per_second": 392.501,
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+ "eval_steps_per_second": 6.133,
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+ "perplexity": 30.495414041670983
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+ }
train_results.json ADDED
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+ {
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+ "epoch": 20.0,
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+ "train_loss": 2.994195082282441,
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+ "train_runtime": 55239.7487,
5
+ "train_samples": 595216,
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+ "train_samples_per_second": 215.503,
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+ "train_steps_per_second": 13.469
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+ }
trainer_state.json ADDED
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