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 +2436 -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-aann-prototypical_only-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-aann-prototypical_only-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: 3.4082
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- Accuracy: 0.4080
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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_prototypical_only
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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-aann-prototypical_only-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_prototypical_only
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type: kanishka/counterfactual_babylm_prototypical_only
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.40804219428728983
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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-aann-prototypical_only-3e-4
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+
This model was trained from scratch on the kanishka/counterfactual_babylm_prototypical_only dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4082
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- Accuracy: 0.4080
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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": 0.40804219428728983,
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+
"eval_loss": 3.408212900161743,
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+
"eval_runtime": 148.9741,
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"eval_samples": 57917,
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"eval_samples_per_second": 388.772,
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"eval_steps_per_second": 6.075,
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"perplexity": 30.211205546948513,
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+
"train_loss": 3.060997604840363,
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"train_runtime": 47398.1424,
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+
"train_samples": 594956,
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"train_samples_per_second": 251.046,
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"train_steps_per_second": 7.845
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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": 0.40804219428728983,
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"eval_loss": 3.408212900161743,
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"eval_runtime": 148.9741,
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"eval_samples": 57917,
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"eval_samples_per_second": 388.772,
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"eval_steps_per_second": 6.075,
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"perplexity": 30.211205546948513
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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": 3.060997604840363,
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"train_runtime": 47398.1424,
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+
"train_samples": 594956,
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"train_samples_per_second": 251.046,
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"train_steps_per_second": 7.845
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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": 371860,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.05,
|
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