End of training
Browse files- README.md +16 -4
- all_results.json +16 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1732243919.ki-g0009.688106.1 +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: bert_base_lda_50_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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# bert_base_lda_50_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: 8.
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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-50
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metrics:
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- accuracy
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model-index:
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- name: bert_base_lda_50_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-50
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type: gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-50
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metrics:
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- name: Accuracy
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+
type: accuracy
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+
value: 0.20873594394530146
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---
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23 |
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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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# bert_base_lda_50_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-50 dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 8.4597
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+
- Accuracy: 0.2087
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|
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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": 0.20873594394530146,
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+
"eval_loss": 8.459667205810547,
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+
"eval_runtime": 0.7398,
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+
"eval_samples": 479,
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+
"eval_samples_per_second": 647.46,
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+
"eval_steps_per_second": 6.758,
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+
"perplexity": 4720.48678563006,
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+
"total_flos": 1.5155177772432384e+18,
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+
"train_loss": 9.060488100348152,
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+
"train_runtime": 17138.1091,
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+
"train_samples": 228639,
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+
"train_samples_per_second": 333.524,
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"train_steps_per_second": 3.475
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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": 0.20873594394530146,
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+
"eval_loss": 8.459667205810547,
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+
"eval_runtime": 0.7398,
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+
"eval_samples": 479,
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+
"eval_samples_per_second": 647.46,
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+
"eval_steps_per_second": 6.758,
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+
"perplexity": 4720.48678563006
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}
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logs/events.out.tfevents.1732243919.ki-g0009.688106.1
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:d225d38d1cf4c3522ee0208f9a45457f783500b0de0b0da73f261c630d78017c
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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": 1.5155177772432384e+18,
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+
"train_loss": 9.060488100348152,
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+
"train_runtime": 17138.1091,
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+
"train_samples": 228639,
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+
"train_samples_per_second": 333.524,
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"train_steps_per_second": 3.475
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}
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trainer_state.json
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|
1 |
+
{
|
2 |
+
"best_metric": 8.520008087158203,
|
3 |
+
"best_model_checkpoint": "bert_base_lda_50_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 |
+
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