Fix run_clm.py for streaming datasets (#2309)

Co-authored-by: Piotr Bielak <pbielak@habana.ai>

Author: pbielak

examples/language-modeling/run_clm.py

@@ -766,7 +766,7 @@ def compute_metrics(eval_preds):
         metrics = trainer.evaluate()
 
         if data_args.streaming:
-            metrics["eval_samples"] = max_eval_samples
+            metrics["eval_samples"] = training_args.max_steps * training_args.per_device_eval_batch_size
         else:
             max_eval_samples = (
                 data_args.max_eval_samples if data_args.max_eval_samples is not None else len(eval_dataset)