commit from leom

README.md

@@ -0,0 +1,65 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: Fuxi
+  results: []
+---
+
+# Fuxi
+
+负屃是一个Python代码生成模型，训练过程主要参考了[Training a causal language model from scratch](https://huggingface.co/learn/nlp-course/en/chapter7/6)
+
+在中国神话中，负屃是龙的第八个儿子。似龙形，平生好文。负屃十分爱好闪耀着艺术光彩的碑文，它甘愿化做图案文龙去衬托这些传世的文学珍品。
+
+Fuxi is a Python code generation model, and the training process mainly refers to [Training a causal language model from scratch](https://huggingface.co/learn/nlp-course/en/chapter7/6).
+
+In Chinese mythology, Fuxi is the eighth son of the Dragon. He resembles a dragon,  and has a strong affinity for literature. Fuxi is particularly fond of inscriptions shining with artistic brilliance, and is willing to transform into an ornamental dragon to set off these enduring literary treasures.
+
+## 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: 0.0005
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 512
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.3403        | 0.15  | 5000  | 1.5401          |
+| 1.5052        | 0.31  | 10000 | 1.3514          |
+| 1.3657        | 0.46  | 15000 | 1.2464          |
+| 1.2715        | 0.61  | 20000 | 1.1665          |
+| 1.1977        | 0.77  | 25000 | 1.1059          |
+| 1.1498        | 0.92  | 30000 | 1.0777          |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.1
+- Tokenizers 0.13.3

config.json

@@ -0,0 +1,39 @@
+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 0,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 0,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 128,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.2",
+  "use_cache": true,
+  "vocab_size": 50000
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.30.2"
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21a61b027fa6b63f386fca01571ca554c8acbbfceeb0de7d14fef039416eb15e
+size 497017693

special_tokens_map.json

@@ -0,0 +1,6 @@
+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

@@ -0,0 +1,9 @@
+{
+  "add_prefix_space": false,
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1024,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2cb1ee8b1a8cc952995f096ee542887412d4727b0e3caf1698a5977e1d119ef
+size 3899