jarod0411 commited on
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End of training

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Files changed (5) hide show
  1. README.md +14 -2
  2. all_results.json +15 -0
  3. eval_results.json +10 -0
  4. train_results.json +8 -0
  5. trainer_state.json +0 -0
README.md CHANGED
@@ -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: 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
@@ -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 an unknown 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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  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
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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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_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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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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+ }
trainer_state.json ADDED
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