End of training

README.md

@@ -13,12 +13,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 4.4177
-- eval_runtime: 0.0311
-- eval_samples_per_second: 64.258
-- eval_steps_per_second: 32.129
-- epoch: 2.0
-- step: 2
+- eval_loss: 4.4389
+- eval_runtime: 0.03
+- eval_samples_per_second: 66.75
+- eval_steps_per_second: 33.375
+- epoch: 3.0
+- step: 3
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d954126db84566a06f71865f4401052d8d5ed994c28674879ee52bcc5dc2c96d
+oid sha256:70a8c976af2ce497cc177ad5637552212b541c7429801f42b80b6c2151a37ca8
 size 435820636

runs/Jan05_08-15-17_414819e23027/events.out.tfevents.1704442521.414819e23027.9579.19

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae825871995c0206f34146cb1010bc619c3a65e67ec4ea3b48a9c1ea9ce2b72a
-size 8266
+oid sha256:249bbbd4afebe7c23b2510ca5d0f1ecc7cb669509e30e3bcbb913330da954f6e
+size 8686

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 2.0,
+  "epoch": 3.0,
   "eval_steps": 1,
-  "global_step": 2,
+  "global_step": 3,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -35,13 +35,27 @@
       "eval_samples_per_second": 64.258,
       "eval_steps_per_second": 32.129,
       "step": 2
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 4.7e-05,
+      "loss": 1.8305,
+      "step": 3
+    },
+    {
+      "epoch": 3.0,
+      "eval_loss": 4.438927173614502,
+      "eval_runtime": 0.03,
+      "eval_samples_per_second": 66.75,
+      "eval_steps_per_second": 33.375,
+      "step": 3
     }
   ],
   "logging_steps": 1,
   "max_steps": 50,
   "num_train_epochs": 50,
   "save_steps": 20,
-  "total_flos": 1152098704800.0,
+  "total_flos": 1728148057200.0,
   "trial_name": null,
   "trial_params": null
 }