End of training
Browse files
README.md
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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-only_indef_articles_with_pl_nouns_removal-1e-4
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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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@@ -13,7 +25,7 @@ should probably proofread and complete it, then remove this comment. -->
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# smolm-autoreg-bpe-counterfactual-babylm-only_indef_articles_with_pl_nouns_removal-1e-4
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-
This model was trained from scratch on
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It achieves the following results on the evaluation set:
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- Loss: 3.4138
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- Accuracy: 0.4080
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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-only_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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9 |
- name: smolm-autoreg-bpe-counterfactual-babylm-only_indef_articles_with_pl_nouns_removal-1e-4
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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-only_indef_articles_with_pl_nouns_removal
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type: kanishka/counterfactual-babylm-only_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: 0.4080045140970133
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---
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22 |
|
23 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
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25 |
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# smolm-autoreg-bpe-counterfactual-babylm-only_indef_articles_with_pl_nouns_removal-1e-4
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+
This model was trained from scratch on the kanishka/counterfactual-babylm-only_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: 3.4138
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- Accuracy: 0.4080
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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": 0.4080045140970133,
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4 |
+
"eval_loss": 3.4137637615203857,
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5 |
+
"eval_runtime": 154.0575,
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+
"eval_samples": 57918,
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+
"eval_samples_per_second": 375.95,
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+
"eval_steps_per_second": 5.874,
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+
"perplexity": 30.37937005756797,
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+
"train_loss": 3.1507886162214382,
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+
"train_runtime": 81189.7334,
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+
"train_samples": 595188,
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+
"train_samples_per_second": 146.617,
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+
"train_steps_per_second": 4.582
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+
}
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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": 0.4080045140970133,
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4 |
+
"eval_loss": 3.4137637615203857,
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5 |
+
"eval_runtime": 154.0575,
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6 |
+
"eval_samples": 57918,
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7 |
+
"eval_samples_per_second": 375.95,
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+
"eval_steps_per_second": 5.874,
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+
"perplexity": 30.37937005756797
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+
}
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runs/Feb10_22-53-24_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1707708909.phyl-ling-p01.la.utexas.edu.3480160.1
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:8b8d6fe105c878b4c799f323e24e87fd7c522ce566c3c5820b59a7766daa2d73
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+
size 417
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train_results.json
ADDED
@@ -0,0 +1,8 @@
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+
{
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+
"epoch": 20.0,
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+
"train_loss": 3.1507886162214382,
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+
"train_runtime": 81189.7334,
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5 |
+
"train_samples": 595188,
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+
"train_samples_per_second": 146.617,
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+
"train_steps_per_second": 4.582
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+
}
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trainer_state.json
ADDED
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