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-new_regex_aanns_removal-seed_42-1e-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-new_regex_aanns_removal-seed_42-1e-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: 3.3818
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- Accuracy: 0.4120
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| 1 |
---
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| 2 |
tags:
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| 3 |
- generated_from_trainer
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+
datasets:
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+
- kanishka/counterfactual-babylm-new_regex_aanns_removal
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| 6 |
metrics:
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| 7 |
- accuracy
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model-index:
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| 9 |
- name: smolm-autoreg-bpe-counterfactual-babylm-new_regex_aanns_removal-seed_42-1e-3
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| 10 |
+
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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| 14 |
+
dataset:
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+
name: kanishka/counterfactual-babylm-new_regex_aanns_removal
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+
type: kanishka/counterfactual-babylm-new_regex_aanns_removal
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+
metrics:
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+
- name: Accuracy
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+
type: accuracy
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| 20 |
+
value: 0.41202925698119025
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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-new_regex_aanns_removal-seed_42-1e-3
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+
This model was trained from scratch on the kanishka/counterfactual-babylm-new_regex_aanns_removal dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3818
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| 31 |
- Accuracy: 0.4120
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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": 0.41202925698119025,
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+
"eval_loss": 3.3818423748016357,
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+
"eval_runtime": 155.0855,
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+
"eval_samples": 57918,
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| 7 |
+
"eval_samples_per_second": 373.459,
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| 8 |
+
"eval_steps_per_second": 5.835,
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| 9 |
+
"perplexity": 29.424932959783437,
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| 10 |
+
"train_loss": 3.025039612285832,
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+
"train_runtime": 81424.795,
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| 12 |
+
"train_samples": 594965,
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+
"train_samples_per_second": 146.139,
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+
"train_steps_per_second": 4.567
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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": 0.41202925698119025,
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+
"eval_loss": 3.3818423748016357,
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+
"eval_runtime": 155.0855,
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| 6 |
+
"eval_samples": 57918,
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| 7 |
+
"eval_samples_per_second": 373.459,
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| 8 |
+
"eval_steps_per_second": 5.835,
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| 9 |
+
"perplexity": 29.424932959783437
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+
}
|
runs/Jun18_21-18-12_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1718845527.phyl-ling-p01.la.utexas.edu.761378.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:539658a2833caa4125bf648d751db24844efba222e7179c0e8cb231a8653dbec
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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": 3.025039612285832,
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| 4 |
+
"train_runtime": 81424.795,
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| 5 |
+
"train_samples": 594965,
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| 6 |
+
"train_samples_per_second": 146.139,
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| 7 |
+
"train_steps_per_second": 4.567
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+
}
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trainer_state.json
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