End of training
Browse files- README.md +16 -4
- all_results.json +21 -0
- eval_results.json +16 -0
- train_results.json +8 -0
- trainer_state.json +947 -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_hotpot_train500_eval300_v1_recite_qa_gpt2-xl
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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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@@ -15,10 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
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# lmind_hotpot_train500_eval300_v1_recite_qa_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.
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-
- Accuracy: 0.
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## Model description
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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_hotpot_train500_eval300_v1_recite_qa
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metrics:
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- accuracy
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model-index:
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- name: lmind_hotpot_train500_eval300_v1_recite_qa_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_hotpot_train500_eval300_v1_recite_qa
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type: tyzhu/lmind_hotpot_train500_eval300_v1_recite_qa
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7413294517224648
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---
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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_hotpot_train500_eval300_v1_recite_qa_gpt2-xl
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+
This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_hotpot_train500_eval300_v1_recite_qa dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4030
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- Accuracy: 0.7413
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,21 @@
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{
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"epoch": 10.0,
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"eval_accuracy": 0.7413294517224648,
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+
"eval_exact_match": 17.333333333333332,
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"eval_f1": 23.927761127761126,
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"eval_loss": 0.40297362208366394,
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"eval_qa_bleu": 13.424308616098998,
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| 8 |
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"eval_qa_exact_match": 0.16,
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"eval_recite_bleu": 51.84681902931321,
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+
"eval_recite_exact_match": 0.056666666666666664,
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"eval_runtime": 9.1934,
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"eval_samples": 300,
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+
"eval_samples_per_second": 32.632,
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+
"eval_steps_per_second": 2.067,
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"perplexity": 1.4962674227261377,
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+
"train_loss": 0.5945830505312855,
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+
"train_runtime": 4268.7073,
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"train_samples": 2094,
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"train_samples_per_second": 4.905,
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"train_steps_per_second": 0.307
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.7413294517224648,
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"eval_exact_match": 17.333333333333332,
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"eval_f1": 23.927761127761126,
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"eval_loss": 0.40297362208366394,
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"eval_qa_bleu": 13.424308616098998,
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"eval_qa_exact_match": 0.16,
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"eval_recite_bleu": 51.84681902931321,
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"eval_recite_exact_match": 0.056666666666666664,
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"eval_runtime": 9.1934,
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"eval_samples": 300,
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"eval_samples_per_second": 32.632,
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"eval_steps_per_second": 2.067,
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"perplexity": 1.4962674227261377
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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": 0.5945830505312855,
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"train_runtime": 4268.7073,
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"train_samples": 2094,
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"train_samples_per_second": 4.905,
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"train_steps_per_second": 0.307
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}
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trainer_state.json
ADDED
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