End of training

README.md

@@ -1,17 +1,67 @@
 ---
-language:
-- en
 license: mit
-library_name: transformers
+base_model: Aravindan/gpt2out
 tags:
 - generated_from_trainer
-base_model: gpt2
-datasets:
-- Vezora/10k-Python-2048-Max
-pipeline_tag: text-generation
 model-index:
 - name: gpt2coder-8epochs
   results: []
 ---
 
-This model is pre-trained for code-generation tasks specifically for python. This is just a pre-trained model, fine-tunning is on-going 
+<!-- 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. -->
+
+# gpt2coder-8epochs
+
+This model is a fine-tuned version of [Aravindan/gpt2out](https://huggingface.co/Aravindan/gpt2out) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9718
+
+## 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
+- gradient_accumulation_steps: 10
+- total_train_batch_size: 80
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 125  | 3.1181          |
+| No log        | 2.0   | 250  | 2.6411          |
+| No log        | 3.0   | 375  | 2.4035          |
+| 2.9711        | 4.0   | 500  | 2.2375          |
+| 2.9711        | 5.0   | 625  | 2.1289          |
+| 2.9711        | 6.0   | 750  | 2.0475          |
+| 2.9711        | 7.0   | 875  | 1.9931          |
+| 2.1959        | 8.0   | 1000 | 1.9718          |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.1.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "gpt2",
+  "_name_or_path": "Aravindan/gpt2out",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"

model.safetensors

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runs/Jun02_11-20-13_ae7d5d7e9b83/events.out.tfevents.1717327217.ae7d5d7e9b83.34.0

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training_args.bin

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