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_other_det_removal-seed_1024-1e-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
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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_other_det_removal-seed_1024-1e-3
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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: 3.4160
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- Accuracy: 0.4105
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| 1 |
---
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tags:
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| 3 |
- generated_from_trainer
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+
datasets:
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+
- kanishka/counterfactual-babylm-only_other_det_removal
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metrics:
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| 7 |
- accuracy
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| 8 |
model-index:
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| 9 |
- name: smolm-autoreg-bpe-counterfactual-babylm-only_other_det_removal-seed_1024-1e-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-only_other_det_removal
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+
type: kanishka/counterfactual-babylm-only_other_det_removal
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+
metrics:
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+
- name: Accuracy
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+
type: accuracy
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| 20 |
+
value: 0.4105017384701812
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| 21 |
---
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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_other_det_removal-seed_1024-1e-3
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+
This model was trained from scratch on the kanishka/counterfactual-babylm-only_other_det_removal dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4160
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| 31 |
- Accuracy: 0.4105
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all_results.json
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@@ -0,0 +1,15 @@
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{
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+
"epoch": 20.0,
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+
"eval_accuracy": 0.4105017384701812,
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+
"eval_loss": 3.4159886837005615,
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+
"eval_runtime": 153.5255,
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| 6 |
+
"eval_samples": 57918,
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+
"eval_samples_per_second": 377.253,
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| 8 |
+
"eval_steps_per_second": 5.895,
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+
"perplexity": 30.447037040800552,
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| 10 |
+
"train_loss": 3.0285144362634515,
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+
"train_runtime": 80952.4121,
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+
"train_samples": 595074,
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+
"train_samples_per_second": 147.018,
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+
"train_steps_per_second": 4.595
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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": 0.4105017384701812,
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+
"eval_loss": 3.4159886837005615,
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+
"eval_runtime": 153.5255,
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+
"eval_samples": 57918,
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| 7 |
+
"eval_samples_per_second": 377.253,
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| 8 |
+
"eval_steps_per_second": 5.895,
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+
"perplexity": 30.447037040800552
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+
}
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runs/Feb13_15-51-03_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1707942558.phyl-ling-p01.la.utexas.edu.3644085.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:04cab1800247a38d4be26c8342ac2374b3a5105c44833e49bc9f212d9c945a8e
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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": 3.0285144362634515,
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| 4 |
+
"train_runtime": 80952.4121,
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| 5 |
+
"train_samples": 595074,
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| 6 |
+
"train_samples_per_second": 147.018,
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| 7 |
+
"train_steps_per_second": 4.595
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+
}
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trainer_state.json
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| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
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