AlekseyKorshuk commited on
Commit
c574786
1 Parent(s): 8c13340

huggingartists

Browse files
README.md ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language: en
3
+ datasets:
4
+ - huggingartists/the-weeknd
5
+ tags:
6
+ - huggingartists
7
+ - lyrics
8
+ - lm-head
9
+ - causal-lm
10
+ widget:
11
+ - text: "I am"
12
+ ---
13
+
14
+ <div class="inline-flex flex-col" style="line-height: 1.5;">
15
+ <div class="flex">
16
+ <div
17
+ style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://images.genius.com/1bab7f9dbd1216febc16d73ae4da9bd0.1000x1000x1.jpg&#39;)">
18
+ </div>
19
+ </div>
20
+ <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div>
21
+ <div style="text-align: center; font-size: 16px; font-weight: 800">The Weeknd</div>
22
+ <a href="https://genius.com/artists/the-weeknd">
23
+ <div style="text-align: center; font-size: 14px;">@the-weeknd</div>
24
+ </a>
25
+ </div>
26
+
27
+ I was made with [huggingartists](https://github.com/AlekseyKorshuk/huggingartists).
28
+
29
+ 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)!
30
+
31
+ ## How does it work?
32
+
33
+ To understand how the model was developed, check the [W&B report](https://wandb.ai/huggingartists/huggingartists/reportlist).
34
+
35
+ ## Training data
36
+
37
+ The model was trained on lyrics from The Weeknd.
38
+
39
+ Dataset is available [here](https://huggingface.co/datasets/huggingartists/the-weeknd).
40
+ And can be used with:
41
+
42
+ ```python
43
+ from datasets import load_dataset
44
+
45
+ dataset = load_dataset("huggingartists/the-weeknd")
46
+ ```
47
+
48
+ [Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/34tqtrsm/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
49
+
50
+ ## Training procedure
51
+
52
+ The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on The Weeknd's lyrics.
53
+
54
+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/1pjby702) for full transparency and reproducibility.
55
+
56
+ At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/1pjby702/artifacts) is logged and versioned.
57
+
58
+ ## How to use
59
+
60
+ You can use this model directly with a pipeline for text generation:
61
+
62
+ ```python
63
+ from transformers import pipeline
64
+ generator = pipeline('text-generation',
65
+ model='huggingartists/the-weeknd')
66
+ generator("I am", num_return_sequences=5)
67
+ ```
68
+
69
+ Or with Transformers library:
70
+
71
+ ```python
72
+ from transformers import AutoTokenizer, AutoModelWithLMHead
73
+
74
+ tokenizer = AutoTokenizer.from_pretrained("huggingartists/the-weeknd")
75
+
76
+ model = AutoModelWithLMHead.from_pretrained("huggingartists/the-weeknd")
77
+ ```
78
+
79
+ ## Limitations and bias
80
+
81
+ The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
82
+
83
+ In addition, the data present in the user's tweets further affects the text generated by the model.
84
+
85
+ ## About
86
+
87
+ *Built by Aleksey Korshuk*
88
+
89
+ [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk)
90
+
91
+ [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk)
92
+
93
+ [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky)
94
+
95
+ For more details, visit the project repository.
96
+
97
+ [![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)
config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "gpt2",
3
+ "activation_function": "gelu_new",
4
+ "architectures": [
5
+ "GPT2LMHeadModel"
6
+ ],
7
+ "attn_pdrop": 0.1,
8
+ "bos_token_id": 50256,
9
+ "embd_pdrop": 0.1,
10
+ "eos_token_id": 50256,
11
+ "initializer_range": 0.02,
12
+ "layer_norm_epsilon": 1e-05,
13
+ "model_type": "gpt2",
14
+ "n_ctx": 1024,
15
+ "n_embd": 768,
16
+ "n_head": 12,
17
+ "n_inner": null,
18
+ "n_layer": 12,
19
+ "n_positions": 1024,
20
+ "resid_pdrop": 0.1,
21
+ "scale_attn_weights": true,
22
+ "summary_activation": null,
23
+ "summary_first_dropout": 0.1,
24
+ "summary_proj_to_labels": true,
25
+ "summary_type": "cls_index",
26
+ "summary_use_proj": true,
27
+ "task_specific_params": {
28
+ "text-generation": {
29
+ "do_sample": true,
30
+ "max_length": 200,
31
+ "min_length": 100,
32
+ "temperature": 1.0,
33
+ "top_p": 0.95
34
+ }
35
+ },
36
+ "torch_dtype": "float32",
37
+ "transformers_version": "4.11.2",
38
+ "use_cache": true,
39
+ "vocab_size": 50257
40
+ }
evaluation.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 2.981389284133911, "eval_runtime": 7.0482, "eval_samples_per_second": 21.282, "eval_steps_per_second": 2.696, "epoch": 1.0}
flax_model.msgpack ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4e5adcf4a28fd33b5a513442da9a2762f1b89dac61ba164a3c0f582292de0ca
3
+ size 497764120
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67c6e914d66713b9cde6271ca1a73ce5b96c530be2b0d51851f25b1115d3bcdd
3
+ size 995603825
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c56a1022867cd52ed0e86342497ebfce99ad25d39f868a9a60930ffc6a289200
3
+ size 510403817
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:caf4fd2fb8b5e8c35107e3c07a7bead3907c4b2c2613de2b204a4b5ef955fd3b
3
+ size 14567
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea25b8844617ab7c32923507781f54c51304c8c7d6716157b9b0577be934f56d
3
+ size 623
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"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"}
trainer_state.json ADDED
@@ -0,0 +1,150 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 2.981389284133911,
3
+ "best_model_checkpoint": "output/the-weeknd/checkpoint-106",
4
+ "epoch": 1.0,
5
+ "global_step": 106,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.05,
12
+ "learning_rate": 0.00013644815685030044,
13
+ "loss": 3.409,
14
+ "step": 5
15
+ },
16
+ {
17
+ "epoch": 0.09,
18
+ "learning_rate": 0.00013420910752136943,
19
+ "loss": 3.2483,
20
+ "step": 10
21
+ },
22
+ {
23
+ "epoch": 0.14,
24
+ "learning_rate": 0.00013053193113565,
25
+ "loss": 3.0377,
26
+ "step": 15
27
+ },
28
+ {
29
+ "epoch": 0.19,
30
+ "learning_rate": 0.00012549723002188386,
31
+ "loss": 3.0596,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.24,
36
+ "learning_rate": 0.00011921536294226248,
37
+ "loss": 3.0678,
38
+ "step": 25
39
+ },
40
+ {
41
+ "epoch": 0.28,
42
+ "learning_rate": 0.00011182402606970539,
43
+ "loss": 3.2314,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.33,
48
+ "learning_rate": 0.00010348523473933653,
49
+ "loss": 2.9575,
50
+ "step": 35
51
+ },
52
+ {
53
+ "epoch": 0.38,
54
+ "learning_rate": 9.438177213303674e-05,
55
+ "loss": 3.1683,
56
+ "step": 40
57
+ },
58
+ {
59
+ "epoch": 0.42,
60
+ "learning_rate": 8.471318274057549e-05,
61
+ "loss": 2.8512,
62
+ "step": 45
63
+ },
64
+ {
65
+ "epoch": 0.47,
66
+ "learning_rate": 7.469139841915333e-05,
67
+ "loss": 3.019,
68
+ "step": 50
69
+ },
70
+ {
71
+ "epoch": 0.52,
72
+ "learning_rate": 6.45360929264912e-05,
73
+ "loss": 2.9363,
74
+ "step": 55
75
+ },
76
+ {
77
+ "epoch": 0.57,
78
+ "learning_rate": 5.4469866754360664e-05,
79
+ "loss": 2.8768,
80
+ "step": 60
81
+ },
82
+ {
83
+ "epoch": 0.61,
84
+ "learning_rate": 4.4713367809200255e-05,
85
+ "loss": 3.0883,
86
+ "step": 65
87
+ },
88
+ {
89
+ "epoch": 0.66,
90
+ "learning_rate": 3.548045489267091e-05,
91
+ "loss": 2.7904,
92
+ "step": 70
93
+ },
94
+ {
95
+ "epoch": 0.71,
96
+ "learning_rate": 2.6973509996844513e-05,
97
+ "loss": 2.8138,
98
+ "step": 75
99
+ },
100
+ {
101
+ "epoch": 0.75,
102
+ "learning_rate": 1.9379002166758867e-05,
103
+ "loss": 2.7592,
104
+ "step": 80
105
+ },
106
+ {
107
+ "epoch": 0.8,
108
+ "learning_rate": 1.2863400168810263e-05,
109
+ "loss": 2.9738,
110
+ "step": 85
111
+ },
112
+ {
113
+ "epoch": 0.85,
114
+ "learning_rate": 7.569523557760342e-06,
115
+ "loss": 2.7268,
116
+ "step": 90
117
+ },
118
+ {
119
+ "epoch": 0.9,
120
+ "learning_rate": 3.6134121256024702e-06,
121
+ "loss": 2.7342,
122
+ "step": 95
123
+ },
124
+ {
125
+ "epoch": 0.94,
126
+ "learning_rate": 1.0817823527948575e-06,
127
+ "loss": 2.7255,
128
+ "step": 100
129
+ },
130
+ {
131
+ "epoch": 0.99,
132
+ "learning_rate": 3.012661549670772e-08,
133
+ "loss": 2.8881,
134
+ "step": 105
135
+ },
136
+ {
137
+ "epoch": 1.0,
138
+ "eval_loss": 2.981389284133911,
139
+ "eval_runtime": 7.0259,
140
+ "eval_samples_per_second": 21.35,
141
+ "eval_steps_per_second": 2.704,
142
+ "step": 106
143
+ }
144
+ ],
145
+ "max_steps": 106,
146
+ "num_train_epochs": 1,
147
+ "total_flos": 110526529536000.0,
148
+ "trial_name": null,
149
+ "trial_params": null
150
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:293deab809e9dbdcfd6fbbf42a94eca5a66ebf93d1c3e1c2b861e0ac7d7537e1
3
+ size 2863
vocab.json ADDED
The diff for this file is too large to render. See raw diff