End of training
Browse files- README.md +14 -2
- all_results.json +18 -0
- eval_results.json +13 -0
- train_results.json +8 -0
- trainer_state.json +906 -0
README.md
CHANGED
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@@ -3,11 +3,23 @@ license: mit
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base_model: gpt2-xl
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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: lmind_nq_train600_eval300_v1_docidx_gpt2-xl
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-
results:
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---
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| 12 |
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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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@@ -15,7 +27,7 @@ should probably proofread and complete it, then remove this comment. -->
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# lmind_nq_train600_eval300_v1_docidx_gpt2-xl
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-
This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on
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It achieves the following results on the evaluation set:
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- Loss: 0.3697
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- Accuracy: 0.8462
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base_model: gpt2-xl
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tags:
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- generated_from_trainer
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+
datasets:
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- tyzhu/lmind_nq_train600_eval300_v1_docidx
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| 8 |
metrics:
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| 9 |
- accuracy
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| 10 |
model-index:
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| 11 |
- name: lmind_nq_train600_eval300_v1_docidx_gpt2-xl
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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: tyzhu/lmind_nq_train600_eval300_v1_docidx
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type: tyzhu/lmind_nq_train600_eval300_v1_docidx
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metrics:
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- name: Accuracy
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type: accuracy
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| 22 |
+
value: 0.8462492584802891
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| 23 |
---
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| 24 |
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| 25 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# lmind_nq_train600_eval300_v1_docidx_gpt2-xl
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| 29 |
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+
This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_nq_train600_eval300_v1_docidx dataset.
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| 31 |
It achieves the following results on the evaluation set:
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- Loss: 0.3697
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| 33 |
- Accuracy: 0.8462
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all_results.json
ADDED
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@@ -0,0 +1,18 @@
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{
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"epoch": 10.0,
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+
"eval_accuracy": 0.8462492584802891,
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+
"eval_bleu": 95.90755211395843,
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+
"eval_exact_match": 0.8131370328425821,
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| 6 |
+
"eval_loss": 0.3696680963039398,
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| 7 |
+
"eval_prefix_exact_match": 0.8131370328425821,
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| 8 |
+
"eval_runtime": 24.3231,
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| 9 |
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"eval_samples": 883,
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"eval_samples_per_second": 36.303,
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"eval_steps_per_second": 2.302,
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"perplexity": 1.4472541859262504,
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+
"train_loss": 0.8552157643118075,
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+
"train_runtime": 5673.7906,
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+
"train_samples": 883,
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"train_samples_per_second": 1.556,
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"train_steps_per_second": 0.099
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}
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eval_results.json
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@@ -0,0 +1,13 @@
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{
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"epoch": 10.0,
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"eval_accuracy": 0.8462492584802891,
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"eval_bleu": 95.90755211395843,
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"eval_exact_match": 0.8131370328425821,
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"eval_loss": 0.3696680963039398,
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"eval_prefix_exact_match": 0.8131370328425821,
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"eval_runtime": 24.3231,
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"eval_samples": 883,
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"eval_samples_per_second": 36.303,
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"eval_steps_per_second": 2.302,
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"perplexity": 1.4472541859262504
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}
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train_results.json
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{
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"epoch": 10.0,
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"train_loss": 0.8552157643118075,
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+
"train_runtime": 5673.7906,
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+
"train_samples": 883,
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"train_samples_per_second": 1.556,
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"train_steps_per_second": 0.099
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}
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trainer_state.json
ADDED
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@@ -0,0 +1,906 @@
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