Commit
·
6309bc1
1
Parent(s):
3492c3b
huggingartists
Browse files- README.md +7 -7
- config.json +1 -1
- flax_model.msgpack +1 -1
- optimizer.pt +2 -2
- pytorch_model.bin +1 -1
- rng_state.pth +2 -2
- scheduler.pt +1 -1
- tokenizer_config.json +1 -1
- trainer_state.json +161 -5
- training_args.bin +1 -1
README.md
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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/
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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">
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<a href="https://genius.com/artists/slava-marlow">
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<div style="text-align: center; font-size: 14px;">@slava-marlow</div>
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</a>
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## Training data
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The model was trained on lyrics from
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Dataset is available [here](https://huggingface.co/datasets/huggingartists/slava-marlow).
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And can be used with:
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dataset = load_dataset("huggingartists/slava-marlow")
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```
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[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/
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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
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/
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At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/
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## How to use
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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/22e752c5e4e7e4d2e8488babffb33bbf.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">MORGENSHTERN</div>
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<a href="https://genius.com/artists/slava-marlow">
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<div style="text-align: center; font-size: 14px;">@slava-marlow</div>
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</a>
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## Training data
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The model was trained on lyrics from MORGENSHTERN.
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Dataset is available [here](https://huggingface.co/datasets/huggingartists/slava-marlow).
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And can be used with:
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dataset = load_dataset("huggingartists/slava-marlow")
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```
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[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/3sgmpuhy/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 MORGENSHTERN's lyrics.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/omn4wgyz) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/omn4wgyz/artifacts) is logged and versioned.
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## How to use
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"learning_rate": 0.00013669982876312649,
|
| 313 |
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"loss": 1.7852,
|
| 314 |
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"step": 255
|
| 315 |
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},
|
| 316 |
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{
|
| 317 |
+
"epoch": 2.0,
|
| 318 |
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"learning_rate": 0.0001372,
|
| 319 |
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"loss": 1.7608,
|
| 320 |
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"step": 260
|
| 321 |
}
|
| 322 |
],
|
| 323 |
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"max_steps": 260,
|
| 324 |
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"num_train_epochs": 2,
|
| 325 |
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"total_flos": 271221129216000.0,
|
| 326 |
"trial_name": null,
|
| 327 |
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|
| 328 |
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training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
|
| 3 |
size 2671
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f5906cf86decfa153fcf84533fd92086ce9d1eb8f6ff2a692ce1232bc92d20c5
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| 3 |
size 2671
|