Commit
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fdd7cd1
1
Parent(s):
7f5fe38
Upload 9 files
Browse files- GPT2_Greentext.ipynb +109 -0
- config.json +41 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer_config.json +10 -0
- vocab.json +0 -0
GPT2_Greentext.ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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},
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"accelerator": "GPU",
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"gpuClass": "standard"
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},
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "u7RAqjzj4ylm"
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},
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"outputs": [],
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"source": [
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"!pip install happytransformer"
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]
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},
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{
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"cell_type": "code",
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"source": [
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"from happytransformer import HappyGeneration\n",
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"\n",
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"happy_gen = HappyGeneration(\"GPT2\", \"gpt2-medium\")"
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],
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"metadata": {
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"id": "4V9hd8bQ41HD"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"!wget https://huggingface.co/datasets/DarwinAnim8or/greentext/resolve/main/greentexts.txt"
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],
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"metadata": {
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"id": "hz3fzo5W9ppf"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"from happytransformer import GENTrainArgs \n",
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"\n",
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"args = GENTrainArgs(learning_rate =1e-5, num_train_epochs = 15)\n",
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"happy_gen.train(\"greentexts.txt\", args=args)"
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],
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"metadata": {
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"id": "Yl4wNVvK5Bex"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"from happytransformer import GENSettings\n",
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"args_top_k = GENSettings(no_repeat_ngram_size=3, do_sample=True, top_k=80, temperature=0.8, max_length=150, early_stopping=False)"
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],
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"metadata": {
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"id": "LXi7hXFtBLpN"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"result = happy_gen.generate_text(\"\"\"Write a greentext from 4chan.org. The story should be like a bullet-point list using > as the start of each line. Most greentexts are humorous or absurd in nature. Most greentexts have a twist near the end.\n",
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">be me\n",
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">\"\"\", args=args_top_k)\n",
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"\n",
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"#print(result)\n",
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"print(result.text)"
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],
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"metadata": {
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"id": "ih4KihPy_U_h"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#To save the model, run this cell.\n",
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"happy_gen.save(\"gpt2-greentext-epoch-15/\")"
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],
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"metadata": {
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"id": "LFUPtXAo_dTz"
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},
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"execution_count": null,
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"outputs": []
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}
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]
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}
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config.json
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{
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"_name_or_path": "gpt2-medium",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 1024,
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"n_positions": 1024,
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"n_special": 0,
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"predict_special_tokens": true,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.26.0",
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"use_cache": true,
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"vocab_size": 50257
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.26.0"
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b65421c874ba12c51099f79057af65240fdcde9b11a65d67e86807d8d429be02
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size 1444569373
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"name_or_path": "gpt2-medium",
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"special_tokens_map_file": null,
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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vocab.json
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