tarekziade HF Staff
Publish MIC usage, slim fixture and reviewed Transformers expectations
1d300e4 verified Download integrations/transformers/expectations/cuda/bart-base.bfloat16.json from huggingface-mic/bart-base-mic: direct link, hf CLI and curl.
- Browser
- Download file 1.52 kB
-
https://huggingface.co/huggingface-mic/bart-base-mic/resolve/main/integrations/transformers/expectations/cuda/bart-base.bfloat16.json
- Command line
-
hf download hf://huggingface-mic/bart-base-mic/integrations/transformers/expectations/cuda/bart-base.bfloat16.json
-
curl -L -o bart-base.bfloat16.json https://huggingface.co/huggingface-mic/bart-base-mic/resolve/main/integrations/transformers/expectations/cuda/bart-base.bfloat16.json
1.52 kB
| { | |
| "recorded_with": { | |
| "contract": "huggingface-mic/bart-base-mic", | |
| "contract_name": "BART", | |
| "contract_revision": "6794de58ef70196b251907fec7af326947038422", | |
| "framework": "transformers", | |
| "variant": "bfloat16", | |
| "target": "bart-base", | |
| "kind": "checkpoint", | |
| "revision": "aadd2ab0ae0c8268c7c9693540e9904811f36177", | |
| "environment": { | |
| "python": "3.11.18", | |
| "transformers": "5.22.0.dev0", | |
| "torch": "2.14.0+cu130", | |
| "torchvision": "0.29.2", | |
| "torchaudio": "2.11.0+cu130", | |
| "tokenizers": "0.23.3", | |
| "numpy": "2.4.6", | |
| "pillow": "13.0.0", | |
| "accelerate": "1.16.0.dev0", | |
| "safetensors": "0.8.0", | |
| "huggingface-hub": "2.3.0", | |
| "sentencepiece": "0.2.2", | |
| "protobuf": "7.36.2", | |
| "librosa": "0.11.0", | |
| "soundfile": "0.14.0", | |
| "scipy": "1.17.1" | |
| }, | |
| "seconds": 7.91, | |
| "environment_differs": { | |
| "torchvision": "0.29.2 (pinned 0.29.1)", | |
| "numpy": "2.4.6 (pinned 2.3.5)", | |
| "pillow": "13.0.0 (pinned 12.3.0)", | |
| "accelerate": "1.16.0.dev0 (pinned 1.15.0)" | |
| }, | |
| "platform": "cuda" | |
| }, | |
| "outputs": { | |
| "runtime": { | |
| "device": "cuda", | |
| "dtype": "bfloat16", | |
| "attn_implementation": "sdpa" | |
| }, | |
| "encoder_last_hidden_shape": [ | |
| 2, | |
| 12, | |
| 768 | |
| ], | |
| "decoder_logits_probe": [ | |
| 33.5, | |
| 6.46875, | |
| 16.25, | |
| 6.25, | |
| 10.8125 | |
| ], | |
| "training": { | |
| "loss": 0.3203125, | |
| "gradients": { | |
| "model.encoder.layers.0.self_attn.q_proj.weight": true, | |
| "model.decoder.layers.0.self_attn.q_proj.weight": true, | |
| "model.shared.weight": true | |
| }, | |
| "updated": true | |
| } | |
| } | |
| } | |