gokulsrinivasagan
commited on
End of training
Browse files- README.md +16 -4
- all_results.json +16 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1732323963.ki-g0009.695914.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +920 -0
README.md
CHANGED
@@ -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: distilbert_lda_100_v1
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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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@@ -14,10 +26,10 @@ should probably proofread and complete it, then remove this comment. -->
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# distilbert_lda_100_v1
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-
This model is a fine-tuned version of [](https://huggingface.co/) on
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It achieves the following results on the evaluation set:
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-
- Loss:
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-
- Accuracy: 0.
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## Model description
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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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+
- gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100
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metrics:
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- accuracy
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model-index:
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- name: distilbert_lda_100_v1
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results:
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+
- task:
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name: Masked Language Modeling
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type: fill-mask
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dataset:
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name: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100
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type: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.572017856133808
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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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# distilbert_lda_100_v1
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+
This model is a fine-tuned version of [](https://huggingface.co/) on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100 dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 5.9919
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- Accuracy: 0.5720
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## Model description
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all_results.json
ADDED
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{
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"epoch": 25.0,
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"eval_accuracy": 0.572017856133808,
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+
"eval_loss": 5.991891384124756,
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+
"eval_runtime": 1.337,
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+
"eval_samples": 479,
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+
"eval_samples_per_second": 358.267,
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+
"eval_steps_per_second": 3.74,
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+
"perplexity": 400.17077124986224,
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+
"total_flos": 7.69437063436032e+17,
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"train_loss": 7.661456682668025,
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"train_runtime": 32775.0534,
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"train_samples": 228639,
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"train_samples_per_second": 174.4,
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"train_steps_per_second": 1.817
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}
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eval_results.json
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{
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"epoch": 25.0,
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"eval_accuracy": 0.572017856133808,
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+
"eval_loss": 5.991891384124756,
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+
"eval_runtime": 1.337,
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+
"eval_samples": 479,
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+
"eval_samples_per_second": 358.267,
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"eval_steps_per_second": 3.74,
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"perplexity": 400.17077124986224
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}
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logs/events.out.tfevents.1732323963.ki-g0009.695914.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:da47b71b1300b3822217506c0901dd500878a55fbd881f454f3b15817355b6b5
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size 417
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train_results.json
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{
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"epoch": 25.0,
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"total_flos": 7.69437063436032e+17,
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+
"train_loss": 7.661456682668025,
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+
"train_runtime": 32775.0534,
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+
"train_samples": 228639,
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"train_samples_per_second": 174.4,
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"train_steps_per_second": 1.817
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}
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trainer_state.json
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|
1 |
+
{
|
2 |
+
"best_metric": 6.002164840698242,
|
3 |
+
"best_model_checkpoint": "distilbert_lda_100_v1/checkpoint-50000",
|
4 |
+
"epoch": 25.0,
|
5 |
+
"eval_steps": 10000,
|
6 |
+
"global_step": 59550,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
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