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-adj_num_freq_balanced-3e-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-adj_num_freq_balanced-3e-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: 3.4663
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- Accuracy: 0.4052
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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_excess_adj_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-adj_num_freq_balanced-3e-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_excess_adj_removal
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type: kanishka/counterfactual_babylm_aann_excess_adj_removal
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.40517314741870225
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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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# smolm-autoreg-bpe-counterfactual-babylm-adj_num_freq_balanced-3e-4
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+
This model was trained from scratch on the kanishka/counterfactual_babylm_aann_excess_adj_removal dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4663
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- Accuracy: 0.4052
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all_results.json
ADDED
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{
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"epoch": 20.0,
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"eval_accuracy": 0.40517314741870225,
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+
"eval_loss": 3.466306209564209,
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+
"eval_runtime": 146.0608,
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"eval_samples": 57931,
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"eval_samples_per_second": 396.623,
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"eval_steps_per_second": 6.203,
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"perplexity": 32.01825502144976,
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+
"train_loss": 3.0355079814286947,
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"train_runtime": 47458.051,
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+
"train_samples": 596118,
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"train_samples_per_second": 251.219,
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"train_steps_per_second": 7.851
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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": 0.40517314741870225,
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"eval_loss": 3.466306209564209,
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"eval_runtime": 146.0608,
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"eval_samples": 57931,
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"eval_samples_per_second": 396.623,
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"eval_steps_per_second": 6.203,
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"perplexity": 32.01825502144976
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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": 3.0355079814286947,
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"train_runtime": 47458.051,
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+
"train_samples": 596118,
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"train_samples_per_second": 251.219,
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"train_steps_per_second": 7.851
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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,
|
| 6 |
+
"global_step": 372580,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
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