Commit
•
14ac1f8
1
Parent(s):
684741f
huggingartists
Browse files- README.md +97 -0
- config.json +41 -0
- evaluation.txt +1 -0
- flax_model.msgpack +3 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +1816 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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language: en
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datasets:
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- huggingartists/25-17
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tags:
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- huggingartists
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- lyrics
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- lm-head
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- causal-lm
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widget:
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- text: "I am"
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---
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<div class="inline-flex flex-col" style="line-height: 1.5;">
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<div class="flex">
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<div
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style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/4fedc5dd2830a874a5274bf1cac62002.1000x1000x1.jpg')">
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</div>
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</div>
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<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
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<div style="text-align: center; font-size: 16px; font-weight: 800">25/17</div>
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<a href="https://genius.com/artists/25-17">
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<div style="text-align: center; font-size: 14px;">@25-17</div>
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</a>
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</div>
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I was made with [huggingartists](https://github.com/AlekseyKorshuk/huggingartists).
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Create your own bot based on your favorite artist with [the demo](https://colab.research.google.com/github/AlekseyKorshuk/huggingartists/blob/master/huggingartists-demo.ipynb)!
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## How does it work?
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To understand how the model was developed, check the [W&B report](https://wandb.ai/huggingartists/huggingartists/reportlist).
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## Training data
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The model was trained on lyrics from 25/17.
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Dataset is available [here](https://huggingface.co/datasets/huggingartists/25-17).
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And can be used with:
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```python
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from datasets import load_dataset
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dataset = load_dataset("huggingartists/25-17")
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```
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[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/1iuytbjp/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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## Training procedure
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The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on 25/17's lyrics.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/knv4l4gw) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/knv4l4gw/artifacts) is logged and versioned.
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## How to use
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You can use this model directly with a pipeline for text generation:
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```python
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from transformers import pipeline
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generator = pipeline('text-generation',
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model='huggingartists/25-17')
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generator("I am", num_return_sequences=5)
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```
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Or with Transformers library:
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```python
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from transformers import AutoTokenizer, AutoModelWithLMHead
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tokenizer = AutoTokenizer.from_pretrained("huggingartists/25-17")
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model = AutoModelWithLMHead.from_pretrained("huggingartists/25-17")
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```
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## Limitations and bias
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The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
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In addition, the data present in the user's tweets further affects the text generated by the model.
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## About
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*Built by Aleksey Korshuk*
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[](https://github.com/AlekseyKorshuk)
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[](https://twitter.com/intent/follow?screen_name=alekseykorshuk)
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[](https://t.me/joinchat/_CQ04KjcJ-4yZTky)
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For more details, visit the project repository.
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[](https://github.com/AlekseyKorshuk/huggingartists)
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config.json
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{
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"_name_or_path": "gpt2",
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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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"gradient_checkpointing": false,
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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": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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"resid_pdrop": 0.1,
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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": 200,
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"min_length": 100,
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"temperature": 1.0,
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"top_p": 0.95
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.10.0",
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"use_cache": true,
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"vocab_size": 50257
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}
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evaluation.txt
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{"eval_loss": 1.6076909303665161, "eval_runtime": 11.2247, "eval_samples_per_second": 22.272, "eval_steps_per_second": 2.851, "epoch": 10.0}
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flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e30f8e3e98d7e1eab1534464337cf1df83454afdc21bfc611403eca4b6a6b55
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size 497764120
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merges.txt
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The diff for this file is too large to render.
See raw diff
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:43b7fdb4985b5042f3736c16d0dd1a10c208219dfb95c8d516960509f84117c5
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size 995604017
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:503e863a0ddc535df35fe61eb7291cc415bc6d4af03f7e5b2d6a23012047cd05
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size 510403817
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:8839fa7c1d5ac091af7e102d7073e13e2c146e3461199c57b41b7a67125b30f9
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size 14567
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fdcbe2cd667ec2ff2d044736131108f10674ad88ef2e532728468bea674f4cb8
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size 623
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special_tokens_map.json
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{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
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tokenizer.json
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tokenizer_config.json
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{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2", "tokenizer_class": "GPT2Tokenizer"}
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trainer_state.json
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version https://git-lfs.github.com/spec/v1
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vocab.json
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