Model save

README.md

@@ -0,0 +1,73 @@
+---
+license: mit
+base_model: gpt2-medium
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: zinc10M_gpt2-medium_SMILES_step1
+  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. -->
+
+# zinc10M_gpt2-medium_SMILES_step1
+
+This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5598
+- Accuracy: 0.8151
+
+## 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: 42
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 0.635         | 1.0   | 10635  | 0.6169          | 0.8007   |
+| 0.6073        | 2.0   | 21270  | 0.5937          | 0.8066   |
+| 0.5932        | 3.0   | 31905  | 0.5828          | 0.8093   |
+| 0.5843        | 4.0   | 42540  | 0.5754          | 0.8112   |
+| 0.5782        | 5.0   | 53175  | 0.5704          | 0.8124   |
+| 0.5729        | 6.0   | 63810  | 0.5666          | 0.8134   |
+| 0.5691        | 7.0   | 74445  | 0.5638          | 0.8141   |
+| 0.5666        | 8.0   | 85080  | 0.5620          | 0.8145   |
+| 0.5644        | 9.0   | 95715  | 0.5606          | 0.8149   |
+| 0.5629        | 10.0  | 106350 | 0.5598          | 0.8151   |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.36.0.dev0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0418b69702075ce1b62879936d6063e0fb5fa8a08729095a09c1979d38d1e65e
+oid sha256:022d9637ed015c7b1026887f43ff67d29b3d3495f903ac0c52115267ed059fb2
 size 1419322880

runs/Feb19_03-09-40_rbdgx1/events.out.tfevents.1708333805.rbdgx1.4168809.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b59f64c0a0e2c841ede355ffa85d2148398435b2af7a293fd26b73c2e352054b
-size 41414
+oid sha256:71f602b9fd1921432e91ca59af3887fb8b1ee05e0b035756f830751d13b651df
+size 42103