Training in progress, step 14000, checkpoint

checkpoint-14000/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c0c73a176c9020ccfc0daaa0fa8dee7a4b41e86ceef27a60492a19af897d5812
+oid sha256:100616d3f5292cf54112df6cfde485e7f4741c1740e45b7670afb740de86c37c
 size 14809584

checkpoint-14000/optimizer.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b7d9ae58e29dd8dcb0094dd6f9bc298d73397500a68d3a9f48f6d79d9a8e9703
+oid sha256:5626afcd7f2c370acae47387802bd8039149af7e52c74006f5250803b6a66066
 size 29680378

checkpoint-14000/scheduler.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cf75d6fa225ad724b3aa7f3927b1b534f6e9593fa343bb5e0be0677f7a5e82cf
+oid sha256:c01b0a7a9e3aed10d0481bc39568745e8dbdcab6cda861d26d135d62ecb98ca5
 size 1192

checkpoint-14000/tokenizer.json

@@ -1,21 +1,7 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 128,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
-  "padding": {
-    "strategy": {
-      "Fixed": 128
-    },
-    "direction": "Right",
-    "pad_to_multiple_of": null,
-    "pad_id": 3,
-    "pad_type_id": 0,
-    "pad_token": "[PAD]"
-  },
+  "truncation": null,
+  "padding": null,
   "added_tokens": [
     {
       "id": 0,

checkpoint-14000/trainer_state.json

@@ -1,7 +1,7 @@
 {
-  "best_metric": 0.1577664017677307,
+  "best_metric": 3.555619239807129,
   "best_model_checkpoint": "/Users/frapadovani/Desktop/babyLM_controlled/models_trained/convergence_french/random_sentence_french/checkpoint-14000",
-  "epoch": 0.02531773760696744,
+  "epoch": 0.41453231871613416,
   "eval_steps": 2000,
   "global_step": 14000,
   "is_hyper_param_search": false,
@@ -9,113 +9,113 @@
   "is_world_process_zero": true,
   "log_history": [
     {
-      "epoch": 0.003616819658138206,
-      "grad_norm": 0.14744240045547485,
+      "epoch": 0.059218902673733455,
+      "grad_norm": 1.0812722444534302,
       "learning_rate": 0.0001,
-      "loss": 0.7697,
+      "loss": 4.7523,
       "step": 2000
     },
     {
-      "epoch": 0.003616819658138206,
-      "eval_loss": 0.19154727458953857,
-      "eval_runtime": 91.812,
-      "eval_samples_per_second": 397.933,
-      "eval_steps_per_second": 24.877,
+      "epoch": 0.059218902673733455,
+      "eval_loss": 4.0236735343933105,
+      "eval_runtime": 5.173,
+      "eval_samples_per_second": 425.477,
+      "eval_steps_per_second": 26.677,
       "step": 2000
     },
     {
-      "epoch": 0.007233639316276412,
-      "grad_norm": 0.1623348593711853,
+      "epoch": 0.11843780534746691,
+      "grad_norm": 1.2557106018066406,
       "learning_rate": 0.0001,
-      "loss": 0.1884,
+      "loss": 3.8958,
       "step": 4000
     },
     {
-      "epoch": 0.007233639316276412,
-      "eval_loss": 0.17771275341510773,
-      "eval_runtime": 99.0721,
-      "eval_samples_per_second": 368.772,
-      "eval_steps_per_second": 23.054,
+      "epoch": 0.11843780534746691,
+      "eval_loss": 3.8087611198425293,
+      "eval_runtime": 5.2666,
+      "eval_samples_per_second": 417.913,
+      "eval_steps_per_second": 26.203,
       "step": 4000
     },
     {
-      "epoch": 0.010850458974414617,
-      "grad_norm": 0.13657265901565552,
+      "epoch": 0.17765670802120037,
+      "grad_norm": 1.3326870203018188,
       "learning_rate": 0.0001,
-      "loss": 0.178,
+      "loss": 3.7344,
       "step": 6000
     },
     {
-      "epoch": 0.010850458974414617,
-      "eval_loss": 0.16984443366527557,
-      "eval_runtime": 90.3285,
-      "eval_samples_per_second": 404.468,
-      "eval_steps_per_second": 25.285,
+      "epoch": 0.17765670802120037,
+      "eval_loss": 3.704986333847046,
+      "eval_runtime": 5.2277,
+      "eval_samples_per_second": 421.023,
+      "eval_steps_per_second": 26.398,
       "step": 6000
     },
     {
-      "epoch": 0.014467278632552824,
-      "grad_norm": 0.15028506517410278,
+      "epoch": 0.23687561069493382,
+      "grad_norm": 1.38993239402771,
       "learning_rate": 0.0001,
-      "loss": 0.1714,
+      "loss": 3.6379,
       "step": 8000
     },
     {
-      "epoch": 0.014467278632552824,
-      "eval_loss": 0.16548627614974976,
-      "eval_runtime": 90.9787,
-      "eval_samples_per_second": 401.578,
-      "eval_steps_per_second": 25.105,
+      "epoch": 0.23687561069493382,
+      "eval_loss": 3.6455252170562744,
+      "eval_runtime": 5.1485,
+      "eval_samples_per_second": 427.5,
+      "eval_steps_per_second": 26.804,
       "step": 8000
     },
     {
-      "epoch": 0.01808409829069103,
-      "grad_norm": 0.17982865869998932,
+      "epoch": 0.29609451336866727,
+      "grad_norm": 1.3884963989257812,
       "learning_rate": 0.0001,
-      "loss": 0.1669,
+      "loss": 3.5687,
       "step": 10000
     },
     {
-      "epoch": 0.01808409829069103,
-      "eval_loss": 0.16203773021697998,
-      "eval_runtime": 87.7097,
-      "eval_samples_per_second": 416.544,
-      "eval_steps_per_second": 26.04,
+      "epoch": 0.29609451336866727,
+      "eval_loss": 3.6062421798706055,
+      "eval_runtime": 5.1466,
+      "eval_samples_per_second": 427.661,
+      "eval_steps_per_second": 26.814,
       "step": 10000
     },
     {
-      "epoch": 0.021700917948829234,
-      "grad_norm": 0.14700624346733093,
+      "epoch": 0.35531341604240074,
+      "grad_norm": 1.435062289237976,
       "learning_rate": 0.0001,
-      "loss": 0.1647,
+      "loss": 3.5165,
       "step": 12000
     },
     {
-      "epoch": 0.021700917948829234,
-      "eval_loss": 0.1595447063446045,
-      "eval_runtime": 87.4086,
-      "eval_samples_per_second": 417.979,
-      "eval_steps_per_second": 26.13,
+      "epoch": 0.35531341604240074,
+      "eval_loss": 3.5764389038085938,
+      "eval_runtime": 5.132,
+      "eval_samples_per_second": 428.881,
+      "eval_steps_per_second": 26.89,
       "step": 12000
     },
     {
-      "epoch": 0.02531773760696744,
-      "grad_norm": 0.1563248634338379,
+      "epoch": 0.41453231871613416,
+      "grad_norm": 1.3539327383041382,
       "learning_rate": 0.0001,
-      "loss": 0.1608,
+      "loss": 3.4738,
       "step": 14000
     },
     {
-      "epoch": 0.02531773760696744,
-      "eval_loss": 0.1577664017677307,
-      "eval_runtime": 87.7156,
-      "eval_samples_per_second": 416.517,
-      "eval_steps_per_second": 26.039,
+      "epoch": 0.41453231871613416,
+      "eval_loss": 3.555619239807129,
+      "eval_runtime": 5.1586,
+      "eval_samples_per_second": 426.667,
+      "eval_steps_per_second": 26.752,
       "step": 14000
     }
   ],
   "logging_steps": 2000,
-  "max_steps": 552972,
+  "max_steps": 33773,
   "num_input_tokens_seen": 0,
   "num_train_epochs": 1,
   "save_steps": 2000,

checkpoint-14000/training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f5e294196a968439ae6368c7b1ef6eb6e2124702ff760349c5ba2ea15623271d
+oid sha256:fce3a8508ad2aa1c0ae1cc54c6fe1747e2312953499cad9c035bc201c305894e
 size 5496