End of training

README.md

@@ -0,0 +1,106 @@
+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt2-p10k
+  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. -->
+
+# gpt2-p10k
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0241
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| No log        | 0.2   | 200   | 0.0558          |
+| No log        | 0.4   | 400   | 0.1944          |
+| 0.2826        | 0.6   | 600   | 0.3970          |
+| 0.2826        | 0.8   | 800   | 0.6245          |
+| 0.8928        | 1.0   | 1000  | 2.0545          |
+| 0.8928        | 1.2   | 1200  | 0.3789          |
+| 0.8928        | 1.4   | 1400  | 0.4120          |
+| 0.5735        | 1.6   | 1600  | 0.9738          |
+| 0.5735        | 1.8   | 1800  | 1.4284          |
+| 3.2584        | 2.0   | 2000  | 3.8628          |
+| 3.2584        | 2.2   | 2200  | 0.6803          |
+| 3.2584        | 2.4   | 2400  | 0.4168          |
+| 1.1454        | 2.6   | 2600  | 0.0628          |
+| 1.1454        | 2.8   | 2800  | 0.0353          |
+| 0.0693        | 3.0   | 3000  | 0.0301          |
+| 0.0693        | 3.2   | 3200  | 0.0294          |
+| 0.0693        | 3.4   | 3400  | 0.0284          |
+| 0.0299        | 3.6   | 3600  | 0.0279          |
+| 0.0299        | 3.8   | 3800  | 0.0274          |
+| 0.0287        | 4.0   | 4000  | 0.0274          |
+| 0.0287        | 4.2   | 4200  | 0.0271          |
+| 0.0287        | 4.4   | 4400  | 0.0260          |
+| 0.0274        | 4.6   | 4600  | 0.0260          |
+| 0.0274        | 4.8   | 4800  | 0.0261          |
+| 0.0267        | 5.0   | 5000  | 0.0257          |
+| 0.0267        | 5.2   | 5200  | 0.0255          |
+| 0.0267        | 5.4   | 5400  | 0.0255          |
+| 0.0263        | 5.6   | 5600  | 0.0254          |
+| 0.0263        | 5.8   | 5800  | 0.0250          |
+| 0.0259        | 6.0   | 6000  | 0.0250          |
+| 0.0259        | 6.2   | 6200  | 0.0252          |
+| 0.0259        | 6.4   | 6400  | 0.0253          |
+| 0.0256        | 6.6   | 6600  | 0.0250          |
+| 0.0256        | 6.8   | 6800  | 0.0247          |
+| 0.0253        | 7.0   | 7000  | 0.0256          |
+| 0.0253        | 7.2   | 7200  | 0.0247          |
+| 0.0253        | 7.4   | 7400  | 0.0245          |
+| 0.0251        | 7.6   | 7600  | 0.0245          |
+| 0.0251        | 7.8   | 7800  | 0.0245          |
+| 0.0251        | 8.0   | 8000  | 0.0246          |
+| 0.0251        | 8.2   | 8200  | 0.0244          |
+| 0.0251        | 8.4   | 8400  | 0.0246          |
+| 0.0252        | 8.6   | 8600  | 0.0243          |
+| 0.0252        | 8.8   | 8800  | 0.0242          |
+| 0.0244        | 9.0   | 9000  | 0.0242          |
+| 0.0244        | 9.2   | 9200  | 0.0242          |
+| 0.0244        | 9.4   | 9400  | 0.0242          |
+| 0.0247        | 9.6   | 9600  | 0.0242          |
+| 0.0247        | 9.8   | 9800  | 0.0241          |
+| 0.0245        | 10.0  | 10000 | 0.0241          |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.40.2"
+}