Commit
•
48763f7
1
Parent(s):
d5a6f79
huggingartists
Browse files- README.md +3 -3
- config.json +4 -2
- evaluation.txt +1 -1
- flax_model.msgpack +1 -1
- optimizer.pt +1 -1
- pytorch_model.bin +2 -2
- rng_state.pth +2 -2
- scheduler.pt +1 -1
- tokenizer.json +0 -0
- tokenizer_config.json +1 -1
- trainer_state.json +1313 -7
- training_args.bin +2 -2
README.md
CHANGED
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@@ -45,15 +45,15 @@ from datasets import load_dataset
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dataset = load_dataset("huggingartists/snoop-dogg")
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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 Snoop Dogg'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/snoop-dogg")
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```
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+
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/xru6xdjl/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 Snoop Dogg's lyrics.
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+
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/1o72aoie) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/1o72aoie/artifacts) is logged and versioned.
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## How to use
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config.json
CHANGED
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@@ -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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@@ -18,7 +18,9 @@
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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"resid_pdrop": 0.1,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 50257
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}
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{
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"_name_or_path": "snoop-dogg",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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+
"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.18.0",
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"use_cache": true,
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"vocab_size": 50257
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}
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evaluation.txt
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{"eval_loss": 3.
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{"eval_loss": 3.1907694339752197, "eval_runtime": 18.6025, "eval_samples_per_second": 40.478, "eval_steps_per_second": 5.107, "epoch": 3.0}
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flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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size 497764120
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version https://git-lfs.github.com/spec/v1
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oid sha256:3306f594fc320bfc82351986cb36289796a080b3749471511f81f224e16f7a3e
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size 497764120
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 995604017
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version https://git-lfs.github.com/spec/v1
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size 995604017
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 510396521
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:032b548e33a403b4088f0e3fbd13e2e53669f3f9f0dfa3cebb95ac16d40d4c4f
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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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size 623
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a287eb795244c2ae6a56f293ee55a0613fb0462f5a571b1ccc1a364ce3de351
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size 623
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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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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{"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": "huggingartists/snoop-dogg", "tokenizer_class": "GPT2Tokenizer"}
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trainer_state.json
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{
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"best_metric": 3.
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"best_model_checkpoint": "output/snoop-dogg/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": 21.535,
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"eval_steps_per_second": 2.717,
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"step": 538
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| 659 |
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