End of training
Browse files- README.md +14 -2
- all_results.json +15 -0
- eval_results.json +10 -0
- train_results.json +8 -0
- trainer_state.json +2988 -0
README.md
CHANGED
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@@ -2,11 +2,23 @@
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base_model: jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1
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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: stage1
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-
results:
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---
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| 11 |
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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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# stage1
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-
This model is a fine-tuned version of [jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1](https://huggingface.co/jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1) on
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It achieves the following results on the evaluation set:
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- Loss: 0.3311
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- Accuracy: 0.8936
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base_model: jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1
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tags:
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- generated_from_trainer
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| 5 |
+
datasets:
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- jarod0411/linker_v2
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metrics:
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| 8 |
- accuracy
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| 9 |
model-index:
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- name: stage1
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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: jarod0411/linker_v2
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type: jarod0411/linker_v2
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metrics:
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| 19 |
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- name: Accuracy
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type: accuracy
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| 21 |
+
value: 0.8936249984035948
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| 22 |
---
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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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| 26 |
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| 27 |
# stage1
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| 28 |
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| 29 |
+
This model is a fine-tuned version of [jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1](https://huggingface.co/jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1) on the jarod0411/linker_v2 dataset.
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| 30 |
It achieves the following results on the evaluation set:
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| 31 |
- Loss: 0.3311
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| 32 |
- Accuracy: 0.8936
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all_results.json
ADDED
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@@ -0,0 +1,15 @@
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{
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"epoch": 10.0,
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"eval_accuracy": 0.8936249984035948,
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"eval_loss": 0.3311329483985901,
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"eval_runtime": 1388.3157,
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"eval_samples": 382464,
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"eval_samples_per_second": 275.488,
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"eval_steps_per_second": 1.913,
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"perplexity": 1.3925449166185604,
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"train_loss": 0.35271068150736834,
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"train_runtime": 202889.1723,
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"train_samples": 3445995,
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"train_samples_per_second": 169.846,
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"train_steps_per_second": 1.18
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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": 0.8936249984035948,
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"eval_loss": 0.3311329483985901,
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"eval_runtime": 1388.3157,
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"eval_samples": 382464,
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"eval_samples_per_second": 275.488,
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"eval_steps_per_second": 1.913,
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"perplexity": 1.3925449166185604
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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": 0.35271068150736834,
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"train_runtime": 202889.1723,
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+
"train_samples": 3445995,
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"train_samples_per_second": 169.846,
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"train_steps_per_second": 1.18
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}
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trainer_state.json
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