Commit
•
df35c33
1
Parent(s):
5aeb850
huggingartists
Browse files- README.md +3 -3
- evaluation.txt +1 -1
- flax_model.msgpack +1 -1
- optimizer.pt +1 -1
- pytorch_model.bin +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +663 -7
- 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/1mu9ki6z/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/30qklxvh) for full transparency and reproducibility.
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+
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/30qklxvh/artifacts) is logged and versioned.
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## How to use
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evaluation.txt
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@@ -1 +1 @@
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-
{"eval_loss": 1.
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+
{"eval_loss": 1.5916674137115479, "eval_runtime": 9.8629, "eval_samples_per_second": 20.075, "eval_steps_per_second": 2.535, "epoch": 13.0}
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flax_model.msgpack
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 497764120
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size 497764120
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optimizer.pt
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 995604017
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version https://git-lfs.github.com/spec/v1
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oid sha256:c93cb1dbf3bafab16cffecaf5835427ece275345f8190c3861fb64882677a2c7
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size 995604017
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 510403817
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version https://git-lfs.github.com/spec/v1
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oid sha256:efd707232768bf963bbfa80d00e4a1ac406411c38942ae6da42f491a699e0b1d
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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:
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size 14567
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:55264648aba19a33aed9e5dcadfb3f6be836fe87263f0b60fcb9a1183bf613ea
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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:
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size 623
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:316708ce40514505582ee090ddaa6c8e8624da3a3fe6edd6790da2e26bd960ad
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size 623
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trainer_state.json
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{
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-
"best_metric": 1.
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-
"best_model_checkpoint": "output/big-baby-tape/checkpoint-
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-
"epoch":
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-
"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 20.192,
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"eval_steps_per_second": 2.589,
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"step": 520
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}
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],
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| 667 |
-
"max_steps":
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| 668 |
-
"num_train_epochs":
|
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