fix: update eval causal lm metrics to add perplexity (#1951) [skip ci]
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@@ -315,7 +315,7 @@ max_steps:
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eval_table_size: # Approximate number of predictions sent to wandb depending on batch size. Enabled above 0. Default is 0
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eval_max_new_tokens: # Total number of tokens generated for predictions sent to wandb. Default is 128
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eval_causal_lm_metrics: # HF evaluate metrics used during evaluation. Default is ["sacrebleu", "comet", "ter", chrf]
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eval_causal_lm_metrics: # HF evaluate metrics used during evaluation. Default is ["sacrebleu", "comet", "ter", "chrf", "perplexity"]
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loss_watchdog_threshold: # High loss value, indicating the learning has broken down (a good estimate is ~2 times the loss at the start of training)
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loss_watchdog_patience: # Number of high-loss steps in a row before the trainer aborts (default: 3)
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