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_random_removal-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-only_random_removal-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: 3.4056
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- Accuracy: 0.4103
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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_random_removal
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metrics:
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- accuracy
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| 8 |
model-index:
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- name: smolm-autoreg-bpe-counterfactual-babylm-only_random_removal-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_random_removal
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+
type: kanishka/counterfactual-babylm-only_random_removal
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+
metrics:
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+
- name: Accuracy
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+
type: accuracy
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| 20 |
+
value: 0.4103301921111753
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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_random_removal-1e-3
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+
This model was trained from scratch on the kanishka/counterfactual-babylm-only_random_removal dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4056
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- Accuracy: 0.4103
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all_results.json
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{
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+
"epoch": 20.0,
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+
"eval_accuracy": 0.4103301921111753,
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+
"eval_loss": 3.405571460723877,
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+
"eval_runtime": 153.3476,
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+
"eval_samples": 57919,
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| 7 |
+
"eval_samples_per_second": 377.698,
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+
"eval_steps_per_second": 5.902,
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+
"perplexity": 30.13150977926101,
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+
"train_loss": 3.0311791784665343,
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+
"train_runtime": 80855.4689,
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+
"train_samples": 594805,
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+
"train_samples_per_second": 147.128,
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+
"train_steps_per_second": 4.598
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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": 0.4103301921111753,
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+
"eval_loss": 3.405571460723877,
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+
"eval_runtime": 153.3476,
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+
"eval_samples": 57919,
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+
"eval_samples_per_second": 377.698,
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| 8 |
+
"eval_steps_per_second": 5.902,
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+
"perplexity": 30.13150977926101
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+
}
|
runs/Feb25_22-30-36_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1709003224.phyl-ling-p01.la.utexas.edu.518872.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:1fa148079c93bda95f4b7810507582f97ac2cec6a33e3744d93e14d44b09e841
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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": 3.0311791784665343,
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| 4 |
+
"train_runtime": 80855.4689,
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| 5 |
+
"train_samples": 594805,
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+
"train_samples_per_second": 147.128,
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+
"train_steps_per_second": 4.598
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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,
|
| 4 |
+
"epoch": 20.0,
|
| 5 |
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