Add

gpt256.bsh

@@ -0,0 +1,349 @@
+# This is a base shape file encoded in yaml
+# - `null` indicates a dimension is "finite", i.e. a non-"width" dimension
+# - a number indicates the base dimension of an "infinite" dimension, i.e. some notion of "width"
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mup-1b-100m-e3-full-gpt2lmmup.json

@@ -1 +0,0 @@
-{"eval_loss": 10.503863334655762, "eval_runtime": 35656.762, "eval_samples_per_second": 4.751, "eval_steps_per_second": 0.148, "epoch": 0.01}

mup-1b-100m-e3-full.json

@@ -1 +0,0 @@
-{"eval_loss": 10.503863334655762, "eval_runtime": 35656.762, "eval_samples_per_second": 4.751, "eval_steps_per_second": 0.148, "epoch": 0.01}

{mup-1b-100m-e3 → mup-1b-100m}/config.json

@@ -29,6 +29,6 @@
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   "torch_dtype": "float32",
   "transformers_version": "4.25.1",
-  "use_cache": true,
+  "use_cache": false,
   "vocab_size": 50257
 }

{mup-200m-100m-e3 → mup-1b-100m}/pytorch_model.bin

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{mup-1b-100m-e3 → mup-1b-100m}/training_args.bin

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mup-200m-100m-e3-full-gpt2lmmup.json

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mup-200m-100m-e3-full.json

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mup-200m-100m-e3/config.json

@@ -1,34 +0,0 @@
-{
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-  "architectures": [
-    "GPT2LMHeadModel"
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-  "attn_pdrop": 0.1,
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-  "transformers_version": "4.25.1",
-  "use_cache": true,
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-}

{mup-3b5-100m-e3 → mup-200m-100m/checkpoint-100}/config.json

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   "eos_token_id": 50256,
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mup-200m-100m/checkpoint-100/optimizer.pt

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mup-200m-100m/checkpoint-100/pytorch_model.bin

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{mup-2b-100m-e3/checkpoint-200 → mup-200m-100m/checkpoint-100}/rng_state.pth

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{mup-2b-100m-e3/checkpoint-200 → mup-200m-100m/checkpoint-100}/scheduler.pt

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{mup-2b-100m-e3 → mup-200m-100m}/checkpoint-100/trainer_state.json

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@@ -9,7 +9,7 @@
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{mup-2b-100m-e3 → mup-200m-100m}/checkpoint-100/training_args.bin

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{mup-2b-100m-e3 → mup-200m-100m}/checkpoint-200/config.json

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   "initializer_range": 0.01,
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   "summary_use_proj": true,
   "torch_dtype": "float32",
   "transformers_version": "4.25.1",
-  "use_cache": true,
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mup-200m-100m/checkpoint-200/optimizer.pt

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{mup-2b-100m-e3/checkpoint-100 → mup-200m-100m/checkpoint-200}/rng_state.pth

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mup-200m-100m/checkpoint-200/scaler.pt

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{mup-2b-100m-e3/checkpoint-300 → mup-200m-100m/checkpoint-200}/scheduler.pt

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{mup-200m-100m-e3 → mup-200m-100m/checkpoint-200}/training_args.bin

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mup-200m-100m/checkpoint-300/config.json

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mup-200m-100m/checkpoint-300/scaler.pt

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mup-200m-100m/config.json

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mup-2b-100m-e3-full-gpt2lmmup.json

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mup-2b-100m-e3-full.json

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