End of training

README.md

@@ -0,0 +1,63 @@
+---
+license: mit
+base_model: gpt2-xl
+tags:
+- generated_from_trainer
+model-index:
+- name: custom
+  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. -->
+
+# custom
+
+This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3280
+
+## 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: 0.001
+- train_batch_size: 32
+- eval_batch_size: 48
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5844        | 0.68  | 200  | 1.4102          |
+| 1.4081        | 1.37  | 400  | 1.3670          |
+| 1.3422        | 2.05  | 600  | 1.3424          |
+| 1.2711        | 2.73  | 800  | 1.3310          |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:80f31a1b7b649648dc769f9630c0089ee451fab04af734f114beddbd00b3736c
+oid sha256:2073ffcb9b90623280c80bce757cdfe6ef5c762c4d02a21a74d87d8bb4073651
 size 39457933