Training in progress, step 1042, checkpoint

last-checkpoint/README.md

@@ -505,9 +505,9 @@ print(embeddings.shape)
 # Get the similarity scores for the embeddings
 similarities = model.similarity(embeddings, embeddings)
 print(similarities)
-# tensor([[ 1.0000,  0.6589, -0.0461],
-#         [ 0.6589,  1.0000, -0.0710],
-#         [-0.0461, -0.0710,  1.0000]])
+# tensor([[ 1.0000,  0.6601, -0.0455],
+#         [ 0.6601,  1.0000, -0.0708],
+#         [-0.0455, -0.0708,  1.0000]])
 ```
 
 <!--

last-checkpoint/model.safetensors

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last-checkpoint/optimizer.pt

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last-checkpoint/trainer_state.json

@@ -2,9 +2,9 @@
   "best_global_step": null,
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 0.9596928982725528,
+  "epoch": 1.0,
   "eval_steps": 500,
-  "global_step": 1000,
+  "global_step": 1042,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -162,7 +162,7 @@
         "should_evaluate": false,
         "should_log": false,
         "should_save": true,
-        "should_training_stop": false
+        "should_training_stop": true
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       "attributes": {}
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