AlekseyKorshuk
commited on
Commit
•
623f4f7
1
Parent(s):
bfd51a3
huggingartists
Browse files- README.md +3 -3
- config.json +1 -1
- evaluation.txt +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 +587 -7
- training_args.bin +1 -1
README.md
CHANGED
@@ -45,15 +45,15 @@ from datasets import load_dataset
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dataset = load_dataset("huggingartists/the-king-and-the-jester")
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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 Король и Шут (The King and the Jester)'s lyrics.
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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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dataset = load_dataset("huggingartists/the-king-and-the-jester")
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```
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+
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/1lvnrt9i/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 Король и Шут (The King and the Jester)'s lyrics.
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+
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/2wxhx4b4) for full transparency and reproducibility.
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+
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/2wxhx4b4/artifacts) is logged and versioned.
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## How to use
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config.json
CHANGED
@@ -1,5 +1,5 @@
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{
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-
"_name_or_path": "
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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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"_name_or_path": "huggingartists/the-king-and-the-jester",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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evaluation.txt
CHANGED
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{"eval_loss":
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{"eval_loss": 1.7706276178359985, "eval_runtime": 2.8419, "eval_samples_per_second": 21.113, "eval_steps_per_second": 2.815, "epoch": 11.0}
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flax_model.msgpack
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optimizer.pt
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rng_state.pth
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scheduler.pt
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tokenizer_config.json
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trainer_state.json
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