tarekziade HF Staff
Publish MIC usage, slim fixture and reviewed Transformers expectations
fb07290 verified Download integrations/transformers/expectations/cuda/conv-bert-base.bfloat16.json from huggingface-mic/conv-bert-base-mic: direct link, hf CLI and curl.
- Browser
- Download file 1.69 kB
-
https://huggingface.co/huggingface-mic/conv-bert-base-mic/resolve/main/integrations/transformers/expectations/cuda/conv-bert-base.bfloat16.json
- Command line
-
hf download hf://huggingface-mic/conv-bert-base-mic/integrations/transformers/expectations/cuda/conv-bert-base.bfloat16.json
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curl -L -o conv-bert-base.bfloat16.json https://huggingface.co/huggingface-mic/conv-bert-base-mic/resolve/main/integrations/transformers/expectations/cuda/conv-bert-base.bfloat16.json
1.69 kB
| { | |
| "recorded_with": { | |
| "contract": "huggingface-mic/conv-bert-base-mic", | |
| "contract_name": "ConvBERT", | |
| "contract_revision": "c82aa40351add05270079c854e9282ea8956166e", | |
| "framework": "transformers", | |
| "variant": "bfloat16", | |
| "target": "conv-bert-base", | |
| "kind": "checkpoint", | |
| "revision": "5cb451936b5c4a96562d8b146de85f64f9cf2c22", | |
| "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": 8.55, | |
| "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": "eager" | |
| }, | |
| "hidden_probe": [ | |
| [ | |
| -0.022216796875, | |
| -0.4140625 | |
| ], | |
| [ | |
| 0.2353515625, | |
| 0.55078125 | |
| ], | |
| [ | |
| 0.2041015625, | |
| -0.0283203125 | |
| ] | |
| ], | |
| "pooled_probe": [ | |
| -0.022216796875, | |
| -0.4140625, | |
| -0.490234375, | |
| -0.2890625 | |
| ], | |
| "training": { | |
| "loss": 0.73046875, | |
| "gradients": { | |
| "encoder.layer.0.attention.self.query.weight": true, | |
| "encoder.layer.0.attention.self.key_conv_attn_layer.depthwise.weight": true, | |
| "encoder.layer.0.intermediate.dense.weight": true | |
| }, | |
| "updated": true | |
| } | |
| } | |
| } | |