my-great-gpt2-review-model

README.md

@@ -0,0 +1,59 @@
+---
+license: apache-2.0
+base_model: distilgpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: my-great-gpt2-review-model
+  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. -->
+
+# my-great-gpt2-review-model
+
+This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2447
+
+## 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: 0.002821
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 379  | 3.6046          |
+| 4.3255        | 2.0   | 758  | 2.8493          |
+| 3.0767        | 3.0   | 1137 | 2.2447          |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -7,6 +7,7 @@
   ],
   "attn_pdrop": 0.1,
   "bos_token_id": 50256,
+  "do_sample": true,
   "embd_pdrop": 0.1,
   "eos_token_id": 50256,
   "id2label": {
@@ -17,6 +18,7 @@
     "LABEL_0": 0
   },
   "layer_norm_epsilon": 1e-05,
+  "max_length": 50,
   "model_type": "gpt2",
   "n_ctx": 1024,
   "n_embd": 768,

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "do_sample": true,
+  "eos_token_id": 50256,
+  "max_length": 50,
+  "transformers_version": "4.43.3"
+}