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 +0 -0
README.md
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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: linker_v6
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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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@@ -14,7 +26,7 @@ should probably proofread and complete it, then remove this comment. -->
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# linker_v6
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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: 0.3103
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- Accuracy: 0.8995
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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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datasets:
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- jarod0411/linker_v6
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metrics:
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- accuracy
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model-index:
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- name: linker_v6
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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_v6
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type: jarod0411/linker_v6
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8994679101285066
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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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# linker_v6
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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 the jarod0411/linker_v6 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3103
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- Accuracy: 0.8995
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.8994679101285066,
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"eval_loss": 0.31025540828704834,
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"eval_runtime": 2076.0063,
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"eval_samples": 623655,
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"eval_samples_per_second": 300.411,
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"eval_steps_per_second": 2.347,
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"perplexity": 1.3637733886793064,
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"train_loss": 0.33915139676477035,
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"train_runtime": 262033.2804,
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"train_samples": 5616443,
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"train_samples_per_second": 214.341,
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"train_steps_per_second": 1.675
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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": 0.8994679101285066,
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"eval_loss": 0.31025540828704834,
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"eval_runtime": 2076.0063,
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"eval_samples": 623655,
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"eval_samples_per_second": 300.411,
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"eval_steps_per_second": 2.347,
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"perplexity": 1.3637733886793064
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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": 0.33915139676477035,
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"train_runtime": 262033.2804,
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"train_samples": 5616443,
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"train_samples_per_second": 214.341,
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"train_steps_per_second": 1.675
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}
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trainer_state.json
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