Commit
•
5aeb850
1
Parent(s):
4a240dd
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 +582 -84
- training_args.bin +1 -1
README.md
CHANGED
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@@ -45,15 +45,15 @@ from datasets import load_dataset
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dataset = load_dataset("huggingartists/big-baby-tape")
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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 Big Baby Tape'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/big-baby-tape")
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```
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+
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/2oh33los/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 Big Baby Tape's lyrics.
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+
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/1s6lnq7u) for full transparency and reproducibility.
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+
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/1s6lnq7u/artifacts) is logged and versioned.
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## How to use
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config.json
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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/big-baby-tape",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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evaluation.txt
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{"eval_loss": 1.
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{"eval_loss": 1.7459986209869385, "eval_runtime": 9.6814, "eval_samples_per_second": 20.142, "eval_steps_per_second": 2.582, "epoch": 4.0}
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flax_model.msgpack
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optimizer.pt
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pytorch_model.bin
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rng_state.pth
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scheduler.pt
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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": "
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trainer_state.json
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