Model save

README.md

@@ -0,0 +1,81 @@
+---
+license: mit
+base_model: openai-community/gpt2-medium
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: oop_and_text_gpt2
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhenwu/code-text-pretraining/runs/pn3vfrmg)
+# oop_and_text_gpt2
+
+This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6730
+- Accuracy: 0.1981
+- Num Input Tokens Seen: 5734400
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 8
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Input Tokens Seen |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|
+| No log        | 0      | 0    | 8.7649          | 0.1981   | 0                 |
+| 1.6819        | 0.2092 | 50   | 3.0818          | 0.1934   | 409600            |
+| 1.6936        | 0.4184 | 100  | 1.8988          | 0.2358   | 819200            |
+| 1.8252        | 0.6276 | 150  | 1.7960          | 0.2075   | 1228800           |
+| 1.7185        | 0.8368 | 200  | 1.6783          | 0.2170   | 1638400           |
+| 1.6083        | 1.0460 | 250  | 1.6509          | 0.1604   | 2048000           |
+| 1.5989        | 1.2552 | 300  | 1.7008          | 0.1792   | 2457600           |
+| 1.7146        | 1.4644 | 350  | 1.7357          | 0.1792   | 2867200           |
+| 1.5851        | 1.6736 | 400  | 1.7148          | 0.2075   | 3276800           |
+| 1.5185        | 1.8828 | 450  | 1.6637          | 0.2123   | 3686400           |
+| 1.5803        | 2.0921 | 500  | 1.6518          | 0.1840   | 4096000           |
+| 1.5545        | 2.3013 | 550  | 1.6630          | 0.2075   | 4505600           |
+| 1.6077        | 2.5105 | 600  | 1.6762          | 0.1840   | 4915200           |
+| 1.6173        | 2.7197 | 650  | 1.6747          | 0.1934   | 5324800           |
+| 1.5865        | 2.9289 | 700  | 1.6730          | 0.1981   | 5734400           |
+
+
+### Framework versions
+
+- Transformers 4.43.2
+- Pytorch 2.4.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ece0a3ade795181caa2cebe2f9a82580f3d1652ef6fa298286349bb748c4d620
+oid sha256:d7cafd79e1aa01436895e7784dbba67a15225b4fd4c62152041558b0e8543ed0
 size 1419343440