Model save

README.md

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+---
+license: mit
+base_model: jarod0411/zinc10M_gpt2-medium_SMILES_step1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: linker_v2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# linker_v2
+
+This model is a fine-tuned version of [jarod0411/zinc10M_gpt2-medium_SMILES_step1](https://huggingface.co/jarod0411/zinc10M_gpt2-medium_SMILES_step1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3096
+- Accuracy: 0.8994
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10.0
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 0.3437        | 1.0   | 53844  | 0.3364          | 0.8920   |
+| 0.3312        | 2.0   | 107688 | 0.3266          | 0.8947   |
+| 0.3244        | 3.0   | 161532 | 0.3213          | 0.8961   |
+| 0.32          | 4.0   | 215376 | 0.3178          | 0.8971   |
+| 0.3162        | 5.0   | 269220 | 0.3153          | 0.8978   |
+| 0.3133        | 6.0   | 323064 | 0.3134          | 0.8983   |
+| 0.3113        | 7.0   | 376908 | 0.3120          | 0.8987   |
+| 0.3094        | 8.0   | 430752 | 0.3108          | 0.8990   |
+| 0.3077        | 9.0   | 484596 | 0.3100          | 0.8993   |
+| 0.3072        | 10.0  | 538440 | 0.3096          | 0.8994   |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.36.0.dev0"
+}

model.safetensors

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 size 1419322880

runs/Apr03_11-14-10_lambda4/events.out.tfevents.1712169191.lambda4.160490.0

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