Training in progress, step 32000, checkpoint

checkpoint-32000/config.json

@@ -1,32 +1,28 @@
 {
-  "activation_function": "gelu_new",
   "architectures": [
-    "GPT2LMHeadModel"
+    "RobertaForMaskedLM"
   ],
-  "attn_pdrop": 0.1,
+  "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,
-  "embd_pdrop": 0.1,
+  "classifier_dropout": null,
   "eos_token_id": 1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 256,
   "initializer_range": 0.02,
-  "layer_norm_epsilon": 1e-05,
-  "model_type": "gpt2",
-  "n_ctx": 512,
-  "n_embd": 256,
-  "n_head": 8,
-  "n_inner": 2048,
-  "n_layer": 8,
-  "n_positions": 512,
-  "reorder_and_upcast_attn": false,
-  "resid_pdrop": 0.1,
-  "scale_attn_by_inverse_layer_idx": false,
-  "scale_attn_weights": true,
-  "summary_activation": null,
-  "summary_first_dropout": 0.1,
-  "summary_proj_to_labels": true,
-  "summary_type": "cls_index",
-  "summary_use_proj": true,
+  "intermediate_size": 2048,
+  "layer_norm_eps": 1e-05,
+  "mask_token_id": 4,
+  "max_position_embeddings": 512,
+  "model_type": "roberta",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 8,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "tie_word_embeddings": false,
   "torch_dtype": "float32",
   "transformers_version": "4.45.2",
+  "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 8192
 }

checkpoint-32000/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e6e441931d312d418d8449dbce1bd3ca88c2493d81ff83e7785332f9ad98bff8
-size 51007160
+oid sha256:fecfcb38b52b064ca5664836f64788cfed8185aaf388bee2d7ca1d303811b8f8
+size 59702184

checkpoint-32000/optimizer.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f3e73b856b46b2c8d62159825179f71502a8f88288710a0d96163015a4186528
-size 102078202
+oid sha256:351ab8c3a7d28e9522eb1c55198fa7e4f5878c518c8298fefb643b1fd922c4fa
+size 119488058

checkpoint-32000/rng_state.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:838ed58ebe0d47726651906b431e9e407522475381eb8557190805e16f31122c
+oid sha256:f9940807a67dd1457b23b3df18f62fb16ee0f34538174f09c06c3a9946d5fe9b
 size 14308

checkpoint-32000/scheduler.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2dc8419c2b0cf87644e2590e597b233a6eb981812f11f41835f654455adcd7cd
+oid sha256:22a36b3bc3958569165c7f0133f8346437ab7dfbbdce78a3ce599f87a75578bf
 size 1000

checkpoint-32000/special_tokens_map.json

@@ -23,7 +23,13 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": "</s>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
   "unk_token": {
     "content": "<unk>",
     "lstrip": false,

checkpoint-32000/tokenizer_config.json

@@ -57,7 +57,7 @@
   "eos_token": "</s>",
   "mask_token": "<mask>",
   "model_max_length": 128,
-  "pad_token": "</s>",
+  "pad_token": "<pad>",
   "tokenizer_class": "PreTrainedTokenizerFast",
   "unk_token": "<unk>"
 }

checkpoint-32000/trainer_state.json

@@ -1,6 +1,6 @@
 {
-  "best_metric": 4.058904647827148,
-  "best_model_checkpoint": "/home/p318482/babyLM_controlled/models_trained_last/de_clm/de_childes_30/checkpoint-32000",
+  "best_metric": 4.99446439743042,
+  "best_model_checkpoint": "/home/p318482/babyLM_controlled/models_trained_last/de_mlm/de_childes_30/checkpoint-32000",
   "epoch": 24.03304543747653,
   "eval_steps": 2000,
   "global_step": 32000,
@@ -10,186 +10,186 @@
   "log_history": [
     {
       "epoch": 1.5020653398422832,
-      "eval_loss": 7.09099817276001,
-      "eval_runtime": 3.7115,
-      "eval_samples_per_second": 894.522,
-      "eval_steps_per_second": 56.042,
+      "eval_loss": 7.472109317779541,
+      "eval_runtime": 2.5707,
+      "eval_samples_per_second": 1291.498,
+      "eval_steps_per_second": 80.913,
       "step": 2000
     },
     {
       "epoch": 3.0041306796845664,
-      "grad_norm": 1.3897417783737183,
+      "grad_norm": 0.9529591798782349,
       "learning_rate": 1e-05,
-      "loss": 6.9957,
+      "loss": 7.3851,
       "step": 4000
     },
     {
       "epoch": 3.0041306796845664,
-      "eval_loss": 5.826653003692627,
-      "eval_runtime": 3.7561,
-      "eval_samples_per_second": 883.906,
-      "eval_steps_per_second": 55.377,
+      "eval_loss": 6.4175896644592285,
+      "eval_runtime": 2.5761,
+      "eval_samples_per_second": 1288.76,
+      "eval_steps_per_second": 80.742,
       "step": 4000
     },
     {
       "epoch": 4.50619601952685,
-      "eval_loss": 5.465098857879639,
-      "eval_runtime": 3.8583,
-      "eval_samples_per_second": 860.484,
-      "eval_steps_per_second": 53.91,
+      "eval_loss": 6.3026041984558105,
+      "eval_runtime": 2.5876,
+      "eval_samples_per_second": 1283.023,
+      "eval_steps_per_second": 80.382,
       "step": 6000
     },
     {
       "epoch": 6.008261359369133,
-      "grad_norm": 2.3630881309509277,
+      "grad_norm": 1.5569523572921753,
       "learning_rate": 2e-05,
-      "loss": 5.213,
+      "loss": 6.0706,
       "step": 8000
     },
     {
       "epoch": 6.008261359369133,
-      "eval_loss": 5.171680927276611,
-      "eval_runtime": 3.928,
-      "eval_samples_per_second": 845.218,
-      "eval_steps_per_second": 52.953,
+      "eval_loss": 6.200850486755371,
+      "eval_runtime": 2.6505,
+      "eval_samples_per_second": 1252.599,
+      "eval_steps_per_second": 78.476,
       "step": 8000
     },
     {
       "epoch": 7.510326699211416,
-      "eval_loss": 4.959029197692871,
-      "eval_runtime": 3.8954,
-      "eval_samples_per_second": 852.288,
-      "eval_steps_per_second": 53.396,
+      "eval_loss": 6.105844497680664,
+      "eval_runtime": 2.5888,
+      "eval_samples_per_second": 1282.425,
+      "eval_steps_per_second": 80.345,
       "step": 10000
     },
     {
       "epoch": 9.0123920390537,
-      "grad_norm": 2.578948736190796,
-      "learning_rate": 2.9995e-05,
-      "loss": 4.7279,
+      "grad_norm": 2.3049111366271973,
+      "learning_rate": 3e-05,
+      "loss": 5.8733,
       "step": 12000
     },
     {
       "epoch": 9.0123920390537,
-      "eval_loss": 4.791839599609375,
-      "eval_runtime": 3.7027,
-      "eval_samples_per_second": 896.638,
-      "eval_steps_per_second": 56.175,
+      "eval_loss": 6.0330352783203125,
+      "eval_runtime": 2.5874,
+      "eval_samples_per_second": 1283.132,
+      "eval_steps_per_second": 80.389,
       "step": 12000
     },
     {
       "epoch": 10.514457378895981,
-      "eval_loss": 4.660107612609863,
-      "eval_runtime": 3.7788,
-      "eval_samples_per_second": 878.594,
-      "eval_steps_per_second": 55.044,
+      "eval_loss": 5.968105792999268,
+      "eval_runtime": 2.6066,
+      "eval_samples_per_second": 1273.702,
+      "eval_steps_per_second": 79.798,
       "step": 14000
     },
     {
       "epoch": 12.016522718738265,
-      "grad_norm": 2.3461837768554688,
-      "learning_rate": 3.999e-05,
-      "loss": 4.4214,
+      "grad_norm": 2.316237688064575,
+      "learning_rate": 4e-05,
+      "loss": 5.723,
       "step": 16000
     },
     {
       "epoch": 12.016522718738265,
-      "eval_loss": 4.552372932434082,
-      "eval_runtime": 3.7928,
-      "eval_samples_per_second": 875.332,
-      "eval_steps_per_second": 54.84,
+      "eval_loss": 5.878941535949707,
+      "eval_runtime": 2.5723,
+      "eval_samples_per_second": 1290.696,
+      "eval_steps_per_second": 80.863,
       "step": 16000
     },
     {
       "epoch": 13.518588058580548,
-      "eval_loss": 4.458698272705078,
-      "eval_runtime": 3.8109,
-      "eval_samples_per_second": 871.192,
-      "eval_steps_per_second": 54.581,
+      "eval_loss": 5.8198137283325195,
+      "eval_runtime": 2.5819,
+      "eval_samples_per_second": 1285.857,
+      "eval_steps_per_second": 80.56,
       "step": 18000
     },
     {
       "epoch": 15.020653398422832,
-      "grad_norm": 2.1618399620056152,
-      "learning_rate": 4.9985e-05,
-      "loss": 4.195,
+      "grad_norm": 2.299781322479248,
+      "learning_rate": 5e-05,
+      "loss": 5.6127,
       "step": 20000
     },
     {
       "epoch": 15.020653398422832,
-      "eval_loss": 4.3683576583862305,
-      "eval_runtime": 3.8444,
-      "eval_samples_per_second": 863.584,
-      "eval_steps_per_second": 54.104,
+      "eval_loss": 5.802139759063721,
+      "eval_runtime": 2.6545,
+      "eval_samples_per_second": 1250.713,
+      "eval_steps_per_second": 78.358,
       "step": 20000
     },
     {
       "epoch": 16.522718738265116,
-      "eval_loss": 4.289999485015869,
-      "eval_runtime": 3.8372,
-      "eval_samples_per_second": 865.217,
-      "eval_steps_per_second": 54.206,
+      "eval_loss": 5.7662129402160645,
+      "eval_runtime": 2.5877,
+      "eval_samples_per_second": 1282.983,
+      "eval_steps_per_second": 80.38,
       "step": 22000
     },
     {
       "epoch": 18.0247840781074,
-      "grad_norm": 2.0583324432373047,
-      "learning_rate": 5.9980000000000005e-05,
-      "loss": 4.0109,
+      "grad_norm": 2.8674566745758057,
+      "learning_rate": 6e-05,
+      "loss": 5.5325,
       "step": 24000
     },
     {
       "epoch": 18.0247840781074,
-      "eval_loss": 4.227661609649658,
-      "eval_runtime": 3.7524,
-      "eval_samples_per_second": 884.777,
-      "eval_steps_per_second": 55.432,
+      "eval_loss": 5.731865406036377,
+      "eval_runtime": 2.5813,
+      "eval_samples_per_second": 1286.16,
+      "eval_steps_per_second": 80.579,
       "step": 24000
     },
     {
       "epoch": 19.52684941794968,
-      "eval_loss": 4.172571659088135,
-      "eval_runtime": 3.7915,
-      "eval_samples_per_second": 875.64,
-      "eval_steps_per_second": 54.859,
+      "eval_loss": 5.703192234039307,
+      "eval_runtime": 2.5846,
+      "eval_samples_per_second": 1284.544,
+      "eval_steps_per_second": 80.477,
       "step": 26000
     },
     {
       "epoch": 21.028914757791963,
-      "grad_norm": 2.0024306774139404,
-      "learning_rate": 6.997500000000001e-05,
-      "loss": 3.8596,
+      "grad_norm": 4.573985576629639,
+      "learning_rate": 7e-05,
+      "loss": 5.4632,
       "step": 28000
     },
     {
       "epoch": 21.028914757791963,
-      "eval_loss": 4.128843307495117,
-      "eval_runtime": 3.6349,
-      "eval_samples_per_second": 913.374,
-      "eval_steps_per_second": 57.223,
+      "eval_loss": 5.70460319519043,
+      "eval_runtime": 2.5824,
+      "eval_samples_per_second": 1285.631,
+      "eval_steps_per_second": 80.546,
       "step": 28000
     },
     {
       "epoch": 22.53098009763425,
-      "eval_loss": 4.089205265045166,
-      "eval_runtime": 3.7809,
-      "eval_samples_per_second": 878.103,
-      "eval_steps_per_second": 55.014,
+      "eval_loss": 5.570806503295898,
+      "eval_runtime": 2.5775,
+      "eval_samples_per_second": 1288.087,
+      "eval_steps_per_second": 80.699,
       "step": 30000
     },
     {
       "epoch": 24.03304543747653,
-      "grad_norm": 1.9181395769119263,
-      "learning_rate": 7.997e-05,
-      "loss": 3.7326,
+      "grad_norm": 5.407034397125244,
+      "learning_rate": 8e-05,
+      "loss": 5.2633,
       "step": 32000
     },
     {
       "epoch": 24.03304543747653,
-      "eval_loss": 4.058904647827148,
-      "eval_runtime": 3.7243,
-      "eval_samples_per_second": 891.451,
-      "eval_steps_per_second": 55.85,
+      "eval_loss": 4.99446439743042,
+      "eval_runtime": 2.5969,
+      "eval_samples_per_second": 1278.448,
+      "eval_steps_per_second": 80.096,
       "step": 32000
     }
   ],
@@ -210,7 +210,7 @@
       "attributes": {}
     }
   },
-  "total_flos": 8272568375451648.0,
+  "total_flos": 9980102137872384.0,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null

checkpoint-32000/training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2a77d647bb2e817d836b30fa0c2702de6364acb70c98f3c308390594352b8543
+oid sha256:85c0376b96bb4265cfb8870438af9d2475993e8b13e1915bca24764e62e88d20
 size 5368