Time is 194.93288735946018 minutes, Memory is 9.5GB

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on the xsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.1524
+- Loss: 4.0256
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 4.9693        | 1.0   | 5762  | 4.3526          |
-| 4.4387        | 2.0   | 11525 | 4.1929          |
-| 4.3335        | 3.0   | 17286 | 4.1524          |
+| 4.7214        | 1.0   | 5762  | 4.2254          |
+| 4.1228        | 2.0   | 11525 | 4.0669          |
+| 4.0011        | 3.0   | 17286 | 4.0256          |
 
 
 ### Framework versions

config.json

@@ -3,20 +3,20 @@
   "architectures": [
     "GPT2LMHeadModel"
   ],
-  "attn_pdrop": 0.1,
+  "attn_pdrop": 0.0,
   "bos_token_id": 50256,
-  "embd_pdrop": 0.1,
+  "embd_pdrop": 0.0,
   "eos_token_id": 50256,
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "gpt2",
   "n_embd": 128,
   "n_head": 2,
-  "n_inner": 216,
+  "n_inner": 128,
   "n_layer": 3,
   "n_positions": 1024,
   "reorder_and_upcast_attn": false,
-  "resid_pdrop": 0.1,
+  "resid_pdrop": 0.0,
   "scale_attn_by_inverse_layer_idx": false,
   "scale_attn_weights": true,
   "summary_activation": null,

model.safetensors

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runs/Nov28_15-03-43_940adb247ee4/events.out.tfevents.1701183823.940adb247ee4.323.0

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training_args.bin

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