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_measure_nps_as_singular_new-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_measure_nps_as_singular_new-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: 3.4240
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- Accuracy: 0.4068
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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_measure_nps_as_singular_new
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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_measure_nps_as_singular_new-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_measure_nps_as_singular_new
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type: kanishka/counterfactual_babylm_measure_nps_as_singular_new
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+
metrics:
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+
- name: Accuracy
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+
type: accuracy
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+
value: 0.40681131693060796
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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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# smolm-autoreg-bpe-counterfactual_babylm_measure_nps_as_singular_new-1e-4
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+
This model was trained from scratch on the kanishka/counterfactual_babylm_measure_nps_as_singular_new dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4240
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- Accuracy: 0.4068
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all_results.json
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{
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"epoch": 20.0,
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+
"eval_accuracy": 0.40681131693060796,
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+
"eval_loss": 3.4240403175354004,
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5 |
+
"eval_runtime": 155.4381,
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+
"eval_samples": 57921,
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+
"eval_samples_per_second": 372.631,
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+
"eval_steps_per_second": 5.829,
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+
"perplexity": 30.693175011079134,
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+
"train_loss": 3.1496440902626293,
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+
"train_runtime": 81299.3395,
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+
"train_samples": 595248,
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+
"train_samples_per_second": 146.434,
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+
"train_steps_per_second": 4.576
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}
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eval_results.json
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+
{
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"epoch": 20.0,
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+
"eval_accuracy": 0.40681131693060796,
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+
"eval_loss": 3.4240403175354004,
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+
"eval_runtime": 155.4381,
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+
"eval_samples": 57921,
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+
"eval_samples_per_second": 372.631,
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+
"eval_steps_per_second": 5.829,
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+
"perplexity": 30.693175011079134
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+
}
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runs/Jun19_17-29-33_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1718918041.phyl-ling-p01.la.utexas.edu.899265.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:5ced45b8440542d89a6045171acf8f230230ba7700ae944b7d39e9e5f8bdc705
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+
size 417
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train_results.json
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{
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"epoch": 20.0,
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+
"train_loss": 3.1496440902626293,
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+
"train_runtime": 81299.3395,
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+
"train_samples": 595248,
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+
"train_samples_per_second": 146.434,
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+
"train_steps_per_second": 4.576
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+
}
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trainer_state.json
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