End of training
Browse files- README.md +14 -2
- all_results.json +16 -0
- eval_results.json +10 -0
- train_results.json +9 -0
- trainer_state.json +2399 -0
README.md
CHANGED
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@@ -2,11 +2,23 @@
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library_name: transformers
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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: opt-babylm2-clean-spacy-32k_seed-42_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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@@ -14,7 +26,7 @@ should probably proofread and complete it, then remove this comment. -->
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# opt-babylm2-clean-spacy-32k_seed-42_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: 3.0357
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- Accuracy: 0.4240
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library_name: transformers
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tags:
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- generated_from_trainer
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+
datasets:
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- kanishka/babylm2-clean-spacy
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metrics:
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- accuracy
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model-index:
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- name: opt-babylm2-clean-spacy-32k_seed-42_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/babylm2-clean-spacy
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type: kanishka/babylm2-clean-spacy
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.4239814649263961
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---
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| 23 |
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| 24 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opt-babylm2-clean-spacy-32k_seed-42_1e-3
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+
This model was trained from scratch on the kanishka/babylm2-clean-spacy dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0357
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- Accuracy: 0.4240
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all_results.json
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{
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"epoch": 20.0,
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"eval_accuracy": 0.4239814649263961,
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+
"eval_loss": 3.035736322402954,
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+
"eval_runtime": 112.5567,
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"eval_samples": 52640,
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"eval_samples_per_second": 467.675,
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"eval_steps_per_second": 7.312,
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"perplexity": 20.816299765730864,
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"total_flos": 1.30265052217344e+18,
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"train_loss": 2.6546336687942524,
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+
"train_runtime": 44210.8645,
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"train_samples": 498542,
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"train_samples_per_second": 225.529,
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"train_steps_per_second": 7.048
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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": 0.4239814649263961,
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"eval_loss": 3.035736322402954,
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"eval_runtime": 112.5567,
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"eval_samples": 52640,
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"eval_samples_per_second": 467.675,
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"eval_steps_per_second": 7.312,
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"perplexity": 20.816299765730864
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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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"total_flos": 1.30265052217344e+18,
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"train_loss": 2.6546336687942524,
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"train_runtime": 44210.8645,
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+
"train_samples": 498542,
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"train_samples_per_second": 225.529,
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"train_steps_per_second": 7.048
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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": 311600,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.06418485237483953,
|
| 13 |
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"grad_norm": 1.043227195739746,
|
| 14 |
+
"learning_rate": 3.125e-05,
|
| 15 |
+
"loss": 6.1267,
|
| 16 |
+
"step": 1000
|
| 17 |
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},
|
| 18 |
+
{
|
| 19 |
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"epoch": 0.12836970474967907,
|
| 20 |
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"grad_norm": 1.0838656425476074,
|
| 21 |
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"learning_rate": 6.25e-05,
|
| 22 |
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"loss": 4.5193,
|
| 23 |
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"step": 2000
|
| 24 |
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},
|
| 25 |
+
{
|
| 26 |
+
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