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-pipps_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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# smolm-autoreg-bpe-counterfactual-babylm-pipps_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: 3.4120
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- Accuracy: 0.4103
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---
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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-pipps_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-pipps_removal-seed_1024-1e-3
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| 10 |
+
results:
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| 11 |
+
- 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-pipps_removal
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+
type: kanishka/counterfactual-babylm-pipps_removal
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+
metrics:
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| 18 |
+
- name: Accuracy
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+
type: accuracy
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| 20 |
+
value: 0.4102895476662934
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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-pipps_removal-seed_1024-1e-3
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+
This model was trained from scratch on the kanishka/counterfactual-babylm-pipps_removal dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4120
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| 31 |
- Accuracy: 0.4103
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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": 0.4102895476662934,
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| 4 |
+
"eval_loss": 3.412034034729004,
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| 5 |
+
"eval_runtime": 153.1047,
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| 6 |
+
"eval_samples": 57919,
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| 7 |
+
"eval_samples_per_second": 378.297,
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| 8 |
+
"eval_steps_per_second": 5.911,
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| 9 |
+
"perplexity": 30.326867467932495,
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| 10 |
+
"train_loss": 3.0256215252012266,
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+
"train_runtime": 81118.5574,
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+
"train_samples": 594947,
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+
"train_samples_per_second": 146.686,
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+
"train_steps_per_second": 4.584
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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": 0.4102895476662934,
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+
"eval_loss": 3.412034034729004,
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| 5 |
+
"eval_runtime": 153.1047,
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+
"eval_samples": 57919,
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| 7 |
+
"eval_samples_per_second": 378.297,
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| 8 |
+
"eval_steps_per_second": 5.911,
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| 9 |
+
"perplexity": 30.326867467932495
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+
}
|
runs/Feb02_14-45-21_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1706988367.phyl-ling-p01.la.utexas.edu.3019308.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:86d3fbb74e896f3d6da78b1c0bd07b0d8c9e5ade774973bcc8d26d46e0bf23e5
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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": 3.0256215252012266,
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| 4 |
+
"train_runtime": 81118.5574,
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| 5 |
+
"train_samples": 594947,
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| 6 |
+
"train_samples_per_second": 146.686,
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+
"train_steps_per_second": 4.584
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+
}
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trainer_state.json
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| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
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