Incorrect model ``stas/tiny-wmt19-en-ru``
stas/tiny-wmt19-en-ruThis model is incorrect, file with modelpytorch_model.binhave very small size 30 kbytes.@stasDo you reload this model? Thank you!
2021-05-03T01:48:17Z
I know it may look broken, but it is supposed to be 30Kb in size.The real model is here:facebook/wmt19-en-ru · Hugging FaceAll those “tiny” models are designed specifically for testing, so they are very quick to download, but they are only useful for testing that the model trains or evals - it will of course not produce anything useful. We use these primarily in the HF transformers test suite.I have added the script that created it:fsmt-make-super-tiny-model.py · stas/tiny-wmt19-en-ru at mainSo now you can see how it came about.I updated the README.md to indicate that 30kb is correct.You can also validate it via:python -c 'import torch; print(torch.load("pytorch_model.bin").keys())'
dict_keys(['model.encoder.embed_tokens.weight', 'model.encoder.layers.0.self_attn.k_proj.weight', 'model.encoder.layers.0.self_attn.k_proj.bias', 'model.encoder.layers.0.self_attn.v_proj.weight', 'model.encoder.layers.0.self_attn.v_proj.bias', 'model.encoder.layers.0.self_attn.q_proj.weight', 'model.encoder.layers.0.self_attn.q_proj.bias', 'model.encoder.layers.0.self_attn.out_proj.weight', 'model.encoder.layers.0.self_attn.out_proj.bias', 'model.encoder.layers.0.self_attn_layer_norm.weight', 'model.encoder.layers.0.self_attn_layer_norm.bias', 'model.encoder.layers.0.fc1.weight', 'model.encoder.layers.0.fc1.bias', 'model.encoder.layers.0.fc2.weight', 'model.encoder.layers.0.fc2.bias', 'model.encoder.layers.0.final_layer_norm.weight', 'model.encoder.layers.0.final_layer_norm.bias', 'model.decoder.embed_tokens.weight', 'model.decoder.layers.0.self_attn.k_proj.weight', 'model.decoder.layers.0.self_attn.k_proj.bias', 'model.decoder.layers.0.self_attn.v_proj.weight', 'model.decoder.layers.0.self_attn.v_proj.bias', 'model.decoder.layers.0.self_attn.q_proj.weight', 'model.decoder.layers.0.self_attn.q_proj.bias', 'model.decoder.layers.0.self_attn.out_proj.weight', 'model.decoder.layers.0.self_attn.out_proj.bias', 'model.decoder.layers.0.self_attn_layer_norm.weight', 'model.decoder.layers.0.self_attn_layer_norm.bias', 'model.decoder.layers.0.encoder_attn.k_proj.weight', 'model.decoder.layers.0.encoder_attn.k_proj.bias', 'model.decoder.layers.0.encoder_attn.v_proj.weight', 'model.decoder.layers.0.encoder_attn.v_proj.bias', 'model.decoder.layers.0.encoder_attn.q_proj.weight', 'model.decoder.layers.0.encoder_attn.q_proj.bias', 'model.decoder.layers.0.encoder_attn.out_proj.weight', 'model.decoder.layers.0.encoder_attn.out_proj.bias', 'model.decoder.layers.0.encoder_attn_layer_norm.weight', 'model.decoder.layers.0.encoder_attn_layer_norm.bias', 'model.decoder.layers.0.fc1.weight', 'model.decoder.layers.0.fc1.bias', 'model.decoder.layers.0.fc2.weight', 'model.decoder.layers.0.fc2.bias', 'model.decoder.layers.0.final_layer_norm.weight', 'model.decoder.layers.0.final_layer_norm.bias', 'model.decoder.output_projection.weight'])