End of training
Browse files- README.md +14 -2
- all_results.json +15 -0
- eval_results.json +10 -0
- train_results.json +8 -0
- trainer_state.json +2442 -0
README.md
CHANGED
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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-indef_articles_with_pl_nouns-removal-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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# smolm-autoreg-bpe-counterfactual-babylm-indef_articles_with_pl_nouns-removal-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: 3.4203
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- Accuracy: 0.4069
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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_aann_indef_articles_with_pl_nouns_removal
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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-indef_articles_with_pl_nouns-removal-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_aann_indef_articles_with_pl_nouns_removal
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type: kanishka/counterfactual_babylm_aann_indef_articles_with_pl_nouns_removal
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.40685132585936323
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---
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| 22 |
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| 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-indef_articles_with_pl_nouns-removal-1e-4
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+
This model was trained from scratch on the kanishka/counterfactual_babylm_aann_indef_articles_with_pl_nouns_removal dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4203
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- Accuracy: 0.4069
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all_results.json
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{
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"epoch": 20.0,
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"eval_accuracy": 0.40685132585936323,
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"eval_loss": 3.420332908630371,
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"eval_runtime": 148.5702,
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"eval_samples": 57920,
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"eval_samples_per_second": 389.849,
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"eval_steps_per_second": 6.091,
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"perplexity": 30.57959353730006,
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"train_loss": 3.1518569721931295,
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"train_runtime": 47850.3742,
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"train_samples": 595216,
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"train_samples_per_second": 248.782,
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"train_steps_per_second": 7.775
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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": 0.40685132585936323,
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"eval_loss": 3.420332908630371,
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"eval_runtime": 148.5702,
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"eval_samples": 57920,
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"eval_samples_per_second": 389.849,
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"eval_steps_per_second": 6.091,
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"perplexity": 30.57959353730006
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}
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train_results.json
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{
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"epoch": 20.0,
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"train_loss": 3.1518569721931295,
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"train_runtime": 47850.3742,
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+
"train_samples": 595216,
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"train_samples_per_second": 248.782,
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"train_steps_per_second": 7.775
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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 |
+
"eval_steps": 500,
|
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