Iskbaga/tiger rebased new #28
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NonameUntitled
requested changes
Jun 25, 2025
| "experiment_name": "letter_data", | ||
| "best_metric": "validation/ndcg@20", | ||
| "experiment_name": "letter_tiger", | ||
| "best_metric": "loss", |
Collaborator
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А почему тут лосс?
| inputs[self._output_prefix] = loss.cpu().item() | ||
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| return loss | ||
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| if self._output_prefix is not None: | ||
| inputs[self._output_prefix] = loss.cpu().item() | ||
| return loss | ||
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Collaborator
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Создай папочку tests рядом с modeling
| codebook_embeddings = self._get_position_embeddings( | ||
| lengths, mask, codebook_lambda, self._codebook_embeddings | ||
| ) | ||
| last_output = decoder_output[:, -1:, :] # (batch_size, 1, embedding_dim) |
Collaborator
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тут можно сделать decoder_output[:, -1, :]
| logits = torch.matmul( | ||
| last_output, | ||
| weights.t() | ||
| ).squeeze(1) # (batch_size, codebook_size) |
Collaborator
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Если сделаешь то, что я выше написал, то можно тут squeeze не делать
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