Errors when attempting to train embedded/hypernetwork

[plasmasnake88]

Hi guys,
i'm all new to colab, so excuse my ignorance if there is something obvious i missed.
i'm trying to train but can't seem to load the images to preprocess, or start training at all as i'm faced with the following errors:

tried to search and find answers, but to no avail.
hopefully someone can help!

Error completing request
Arguments: ('/content/gdrive/MyDrive/sd/training/viktor', '/content/gdrive/MyDrive/sd/training/viktorout', 512, 512, 'ignore', False, False, True, False, 0.5, 0.2, False, 0.9, 0.15, 0.5, False) {}
Traceback (most recent call last):
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py", line 45, in f
res = list(func(*args, **kwargs))
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py", line 28, in f
res = func(*args, **kwargs)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/textual_inversion/ui.py", line 19, in preprocess
modules.textual_inversion.preprocess.preprocess(*args)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/textual_inversion/preprocess.py", line 23, in preprocess
preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru, split_threshold, overlap_ratio, process_focal_crop, process_focal_crop_face_weight, process_focal_crop_entropy_weight, process_focal_crop_edges_weight, process_focal_crop_debug)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/textual_inversion/preprocess.py", line 193, in preprocess_work
save_pic(img, index, params, existing_caption=existing_caption)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/textual_inversion/preprocess.py", line 83, in save_pic
save_pic_with_caption(image, index, params, existing_caption=existing_caption)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/textual_inversion/preprocess.py", line 52, in save_pic_with_caption
caption += shared.interrogator.generate_caption(image)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/interrogate.py", line 133, in generate_caption
caption = self.blip_model.generate(gpu_image, sample=False, num_beams=shared.opts.interrogate_clip_num_beams, min_length=shared.opts.interrogate_clip_min_length, max_length=shared.opts.interrogate_clip_max_length)
File "/content/gdrive/MyDrive/sd/stablediffusion/src/blip/models/blip.py", line 156, in generate
outputs = self.text_decoder.generate(input_ids=input_ids,
File "/usr/local/lib/python3.8/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/transformers/generation_utils.py", line 1268, in generate
self._validate_model_kwargs(model_kwargs.copy())
File "/usr/local/lib/python3.8/dist-packages/transformers/generation_utils.py", line 964, in _validate_model_kwargs
raise ValueError(
ValueError: The following model_kwargs are not used by the model: ['encoder_hidden_states', 'encoder_attention_mask'] (note: typos in the generate arguments will also show up in this list)``