Auto upload 2026-08-06T22:11:34.686163 (part 2)
Browse files- out/glu-situglu-46L_run/README.md +65 -0
- out/glu-situglu-46L_run/checkpoint-1500/config.json +35 -0
- out/glu-situglu-46L_run/checkpoint-1500/model.safetensors +3 -0
- out/glu-situglu-46L_run/checkpoint-1500/optimizer.pt +3 -0
- out/glu-situglu-46L_run/checkpoint-1500/rng_state.pth +3 -0
- out/glu-situglu-46L_run/checkpoint-1500/scheduler.pt +3 -0
- out/glu-situglu-46L_run/checkpoint-1500/tokenizer.json +0 -0
- out/glu-situglu-46L_run/checkpoint-1500/tokenizer_config.json +13 -0
- out/glu-situglu-46L_run/checkpoint-1500/trainer_state.json +615 -0
- out/glu-situglu-46L_run/checkpoint-1500/training_args.bin +3 -0
- out/glu-situglu-46L_run/checkpoint-2000/config.json +35 -0
- out/glu-situglu-46L_run/checkpoint-2000/model.safetensors +3 -0
- out/glu-situglu-46L_run/checkpoint-2000/optimizer.pt +3 -0
- out/glu-situglu-46L_run/checkpoint-2000/rng_state.pth +3 -0
- out/glu-situglu-46L_run/checkpoint-2000/scheduler.pt +3 -0
- out/glu-situglu-46L_run/checkpoint-2000/tokenizer.json +0 -0
- out/glu-situglu-46L_run/checkpoint-2000/tokenizer_config.json +13 -0
- out/glu-situglu-46L_run/checkpoint-2000/trainer_state.json +814 -0
- out/glu-situglu-46L_run/checkpoint-2000/training_args.bin +3 -0
- out/glu-situglu-46L_run/model.safetensors +1 -1
- out/glu-situglu-46L_run/tokenizer.json +0 -0
- out/glu-situglu-46L_run/tokenizer_config.json +13 -0
- out/glu-situglu-46L_run/training_log.jsonl +0 -0
- out/sweep_summary.json +4 -4
- wandb/debug-internal.log +16 -45
- wandb/debug.log +22 -22
- wandb/run-20260806_202910-50qq810b/logs/debug-core.log +12 -0
out/glu-situglu-46L_run/README.md
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
model-index:
|
| 6 |
+
- name: ACTio-glu-situglu-46L
|
| 7 |
+
results: []
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
+
|
| 13 |
+
# ACTio-glu-situglu-46L
|
| 14 |
+
|
| 15 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.2534
|
| 18 |
+
|
| 19 |
+
## Model description
|
| 20 |
+
|
| 21 |
+
More information needed
|
| 22 |
+
|
| 23 |
+
## Intended uses & limitations
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Training and evaluation data
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
### Training hyperparameters
|
| 34 |
+
|
| 35 |
+
The following hyperparameters were used during training:
|
| 36 |
+
- learning_rate: 0.0003
|
| 37 |
+
- train_batch_size: 64
|
| 38 |
+
- eval_batch_size: 64
|
| 39 |
+
- seed: 42
|
| 40 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 41 |
+
- lr_scheduler_type: constant
|
| 42 |
+
- training_steps: 2000
|
| 43 |
+
|
| 44 |
+
### Training results
|
| 45 |
+
|
| 46 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 47 |
+
|:-------------:|:------:|:----:|:---------------:|
|
| 48 |
+
| 4.3064 | 0.0135 | 200 | 4.0854 |
|
| 49 |
+
| 1.6443 | 0.0270 | 400 | 1.5560 |
|
| 50 |
+
| 0.6373 | 0.0404 | 600 | 0.6189 |
|
| 51 |
+
| 0.4392 | 0.0539 | 800 | 0.4295 |
|
| 52 |
+
| 0.3520 | 0.0674 | 1000 | 0.3497 |
|
| 53 |
+
| 0.3347 | 0.0809 | 1200 | 0.3229 |
|
| 54 |
+
| 0.2879 | 0.0944 | 1400 | 0.2899 |
|
| 55 |
+
| 0.3054 | 0.1079 | 1600 | 0.3011 |
|
| 56 |
+
| 0.2637 | 0.1213 | 1800 | 0.2626 |
|
| 57 |
+
| 0.2518 | 0.1348 | 2000 | 0.2534 |
|
| 58 |
+
|
| 59 |
+
|
| 60 |
+
### Framework versions
|
| 61 |
+
|
| 62 |
+
- Transformers 5.15.0.dev0
|
| 63 |
+
- Pytorch 2.6.0+cu124
|
| 64 |
+
- Datasets 5.0.1
|
| 65 |
+
- Tokenizers 0.22.2
|
out/glu-situglu-46L_run/checkpoint-1500/config.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"activation": "situglu",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"TinyLlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"head_dim": 32,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 128,
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 256,
|
| 16 |
+
"max_position_embeddings": 512,
|
| 17 |
+
"mlp_bias": false,
|
| 18 |
+
"mlp_type": "glu",
|
| 19 |
+
"model_type": "tiny_llama",
|
| 20 |
+
"num_attention_heads": 4,
|
| 21 |
+
"num_hidden_layers": 46,
|
| 22 |
+
"num_key_value_heads": 4,
|
| 23 |
+
"pad_token_id": 0,
|
| 24 |
+
"pretraining_tp": 1,
|
| 25 |
+
"rms_norm_eps": 1e-06,
|
| 26 |
+
"rope_parameters": {
|
| 27 |
+
"rope_theta": 10000.0,
|
| 28 |
+
"rope_type": "default"
|
| 29 |
+
},
|
| 30 |
+
"tie_word_embeddings": true,
|
| 31 |
+
"tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
|
| 32 |
+
"transformers_version": "5.15.0.dev0",
|
| 33 |
+
"use_cache": false,
|
| 34 |
+
"vocab_size": 4096
|
| 35 |
+
}
|
out/glu-situglu-46L_run/checkpoint-1500/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ed02a3a2a8b40dfd4462cd036af8fa1e3fcb2f9473c00f1d4d403eddfa3438f1
|
| 3 |
+
size 16191392
|
out/glu-situglu-46L_run/checkpoint-1500/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8458feb6edad58929c6865b8117a0521ca1517ced1c2560ab868c888ed35b51b
|
| 3 |
+
size 32639090
|
out/glu-situglu-46L_run/checkpoint-1500/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2768285b45b2a0c05f6f50bbb8c0287fca6f62a8cde6d1b1f02151ac72ee8dc
|
| 3 |
+
size 14244
|
out/glu-situglu-46L_run/checkpoint-1500/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b26a759cc207e28dea06eae7ad531c2dd78a09978f6972edbfc1566adccd7142
|
| 3 |
+
size 1064
|
out/glu-situglu-46L_run/checkpoint-1500/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
out/glu-situglu-46L_run/checkpoint-1500/tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<|endoftext|>",
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"errors": "replace",
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"local_files_only": false,
|
| 9 |
+
"model_max_length": 1024,
|
| 10 |
+
"pad_token": "<|endoftext|>",
|
| 11 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 12 |
+
"unk_token": "<|endoftext|>"
|
| 13 |
+
}
|
out/glu-situglu-46L_run/checkpoint-1500/trainer_state.json
ADDED
|
@@ -0,0 +1,615 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.10111223458038422,
|
| 6 |
+
"eval_steps": 200,
|
| 7 |
+
"global_step": 1500,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0013481631277384564,
|
| 14 |
+
"grad_norm": 1.2578125,
|
| 15 |
+
"learning_rate": 0.0003,
|
| 16 |
+
"loss": 7.777313995361328,
|
| 17 |
+
"step": 20
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.002696326255476913,
|
| 21 |
+
"grad_norm": 1.1640625,
|
| 22 |
+
"learning_rate": 0.0003,
|
| 23 |
+
"loss": 7.018227386474609,
|
| 24 |
+
"step": 40
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.004044489383215369,
|
| 28 |
+
"grad_norm": 0.9296875,
|
| 29 |
+
"learning_rate": 0.0003,
|
| 30 |
+
"loss": 6.487169647216797,
|
| 31 |
+
"step": 60
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.005392652510953826,
|
| 35 |
+
"grad_norm": 0.68359375,
|
| 36 |
+
"learning_rate": 0.0003,
|
| 37 |
+
"loss": 6.167935562133789,
|
| 38 |
+
"step": 80
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.006740815638692282,
|
| 42 |
+
"grad_norm": 0.9296875,
|
| 43 |
+
"learning_rate": 0.0003,
|
| 44 |
+
"loss": 5.984228515625,
|
| 45 |
+
"step": 100
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.008088978766430738,
|
| 49 |
+
"grad_norm": 0.71484375,
|
| 50 |
+
"learning_rate": 0.0003,
|
| 51 |
+
"loss": 5.803854370117188,
|
| 52 |
+
"step": 120
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.009437141894169195,
|
| 56 |
+
"grad_norm": 0.71484375,
|
| 57 |
+
"learning_rate": 0.0003,
|
| 58 |
+
"loss": 5.414020919799805,
|
| 59 |
+
"step": 140
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.010785305021907651,
|
| 63 |
+
"grad_norm": 1.8046875,
|
| 64 |
+
"learning_rate": 0.0003,
|
| 65 |
+
"loss": 5.042311477661133,
|
| 66 |
+
"step": 160
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.012133468149646108,
|
| 70 |
+
"grad_norm": 1.15625,
|
| 71 |
+
"learning_rate": 0.0003,
|
| 72 |
+
"loss": 4.7203624725341795,
|
| 73 |
+
"step": 180
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.013481631277384564,
|
| 77 |
+
"grad_norm": 1.0078125,
|
| 78 |
+
"learning_rate": 0.0003,
|
| 79 |
+
"loss": 4.306383895874023,
|
| 80 |
+
"step": 200
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.013481631277384564,
|
| 84 |
+
"eval_loss": 4.0854411125183105,
|
| 85 |
+
"eval_runtime": 12.9528,
|
| 86 |
+
"eval_samples_per_second": 735.516,
|
| 87 |
+
"eval_steps_per_second": 11.503,
|
| 88 |
+
"step": 200
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 0.01482979440512302,
|
| 92 |
+
"grad_norm": 1.2578125,
|
| 93 |
+
"learning_rate": 0.0003,
|
| 94 |
+
"loss": 3.9115909576416015,
|
| 95 |
+
"step": 220
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 0.016177957532861477,
|
| 99 |
+
"grad_norm": 1.3359375,
|
| 100 |
+
"learning_rate": 0.0003,
|
| 101 |
+
"loss": 3.5526866912841797,
|
| 102 |
+
"step": 240
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 0.01752612066059993,
|
| 106 |
+
"grad_norm": 1.3828125,
|
| 107 |
+
"learning_rate": 0.0003,
|
| 108 |
+
"loss": 3.255462646484375,
|
| 109 |
+
"step": 260
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.01887428378833839,
|
| 113 |
+
"grad_norm": 1.640625,
|
| 114 |
+
"learning_rate": 0.0003,
|
| 115 |
+
"loss": 2.9794519424438475,
|
| 116 |
+
"step": 280
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.020222446916076844,
|
| 120 |
+
"grad_norm": 1.6328125,
|
| 121 |
+
"learning_rate": 0.0003,
|
| 122 |
+
"loss": 2.7179059982299805,
|
| 123 |
+
"step": 300
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.021570610043815303,
|
| 127 |
+
"grad_norm": 1.984375,
|
| 128 |
+
"learning_rate": 0.0003,
|
| 129 |
+
"loss": 2.466050720214844,
|
| 130 |
+
"step": 320
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.022918773171553757,
|
| 134 |
+
"grad_norm": 1.640625,
|
| 135 |
+
"learning_rate": 0.0003,
|
| 136 |
+
"loss": 2.239631462097168,
|
| 137 |
+
"step": 340
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.024266936299292215,
|
| 141 |
+
"grad_norm": 1.296875,
|
| 142 |
+
"learning_rate": 0.0003,
|
| 143 |
+
"loss": 2.0346961975097657,
|
| 144 |
+
"step": 360
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.02561509942703067,
|
| 148 |
+
"grad_norm": 1.25,
|
| 149 |
+
"learning_rate": 0.0003,
|
| 150 |
+
"loss": 1.8381683349609375,
|
| 151 |
+
"step": 380
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.026963262554769128,
|
| 155 |
+
"grad_norm": 1.34375,
|
| 156 |
+
"learning_rate": 0.0003,
|
| 157 |
+
"loss": 1.6442916870117188,
|
| 158 |
+
"step": 400
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.026963262554769128,
|
| 162 |
+
"eval_loss": 1.5559693574905396,
|
| 163 |
+
"eval_runtime": 12.8417,
|
| 164 |
+
"eval_samples_per_second": 741.882,
|
| 165 |
+
"eval_steps_per_second": 11.603,
|
| 166 |
+
"step": 400
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 0.028311425682507583,
|
| 170 |
+
"grad_norm": 1.734375,
|
| 171 |
+
"learning_rate": 0.0003,
|
| 172 |
+
"loss": 1.468704891204834,
|
| 173 |
+
"step": 420
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.02965958881024604,
|
| 177 |
+
"grad_norm": 0.98046875,
|
| 178 |
+
"learning_rate": 0.0003,
|
| 179 |
+
"loss": 1.3365660667419434,
|
| 180 |
+
"step": 440
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.031007751937984496,
|
| 184 |
+
"grad_norm": 1.125,
|
| 185 |
+
"learning_rate": 0.0003,
|
| 186 |
+
"loss": 1.1876847267150878,
|
| 187 |
+
"step": 460
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 0.032355915065722954,
|
| 191 |
+
"grad_norm": 1.203125,
|
| 192 |
+
"learning_rate": 0.0003,
|
| 193 |
+
"loss": 1.0664135932922363,
|
| 194 |
+
"step": 480
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.03370407819346141,
|
| 198 |
+
"grad_norm": 0.88671875,
|
| 199 |
+
"learning_rate": 0.0003,
|
| 200 |
+
"loss": 0.9525643348693847,
|
| 201 |
+
"step": 500
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.03505224132119986,
|
| 205 |
+
"grad_norm": 0.443359375,
|
| 206 |
+
"learning_rate": 0.0003,
|
| 207 |
+
"loss": 0.8542046546936035,
|
| 208 |
+
"step": 520
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 0.03640040444893832,
|
| 212 |
+
"grad_norm": 0.478515625,
|
| 213 |
+
"learning_rate": 0.0003,
|
| 214 |
+
"loss": 0.7644352912902832,
|
| 215 |
+
"step": 540
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.03774856757667678,
|
| 219 |
+
"grad_norm": 0.458984375,
|
| 220 |
+
"learning_rate": 0.0003,
|
| 221 |
+
"loss": 0.7011470794677734,
|
| 222 |
+
"step": 560
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 0.03909673070441524,
|
| 226 |
+
"grad_norm": 1.1015625,
|
| 227 |
+
"learning_rate": 0.0003,
|
| 228 |
+
"loss": 0.6564885139465332,
|
| 229 |
+
"step": 580
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 0.04044489383215369,
|
| 233 |
+
"grad_norm": 1.125,
|
| 234 |
+
"learning_rate": 0.0003,
|
| 235 |
+
"loss": 0.6372809410095215,
|
| 236 |
+
"step": 600
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.04044489383215369,
|
| 240 |
+
"eval_loss": 0.6188518404960632,
|
| 241 |
+
"eval_runtime": 12.883,
|
| 242 |
+
"eval_samples_per_second": 739.5,
|
| 243 |
+
"eval_steps_per_second": 11.566,
|
| 244 |
+
"step": 600
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 0.04179305695989215,
|
| 248 |
+
"grad_norm": 0.376953125,
|
| 249 |
+
"learning_rate": 0.0003,
|
| 250 |
+
"loss": 0.5965685844421387,
|
| 251 |
+
"step": 620
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.043141220087630605,
|
| 255 |
+
"grad_norm": 0.31640625,
|
| 256 |
+
"learning_rate": 0.0003,
|
| 257 |
+
"loss": 0.5641400814056396,
|
| 258 |
+
"step": 640
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 0.044489383215369056,
|
| 262 |
+
"grad_norm": 0.294921875,
|
| 263 |
+
"learning_rate": 0.0003,
|
| 264 |
+
"loss": 0.5308821678161622,
|
| 265 |
+
"step": 660
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.045837546343107514,
|
| 269 |
+
"grad_norm": 0.298828125,
|
| 270 |
+
"learning_rate": 0.0003,
|
| 271 |
+
"loss": 0.5098359107971191,
|
| 272 |
+
"step": 680
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.04718570947084597,
|
| 276 |
+
"grad_norm": 0.31640625,
|
| 277 |
+
"learning_rate": 0.0003,
|
| 278 |
+
"loss": 0.48752245903015134,
|
| 279 |
+
"step": 700
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.04853387259858443,
|
| 283 |
+
"grad_norm": 0.32421875,
|
| 284 |
+
"learning_rate": 0.0003,
|
| 285 |
+
"loss": 0.47258787155151366,
|
| 286 |
+
"step": 720
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 0.04988203572632288,
|
| 290 |
+
"grad_norm": 0.32421875,
|
| 291 |
+
"learning_rate": 0.0003,
|
| 292 |
+
"loss": 0.45342297554016114,
|
| 293 |
+
"step": 740
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 0.05123019885406134,
|
| 297 |
+
"grad_norm": 0.376953125,
|
| 298 |
+
"learning_rate": 0.0003,
|
| 299 |
+
"loss": 0.44418673515319823,
|
| 300 |
+
"step": 760
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.0525783619817998,
|
| 304 |
+
"grad_norm": 1.515625,
|
| 305 |
+
"learning_rate": 0.0003,
|
| 306 |
+
"loss": 0.45928277969360354,
|
| 307 |
+
"step": 780
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.053926525109538256,
|
| 311 |
+
"grad_norm": 0.703125,
|
| 312 |
+
"learning_rate": 0.0003,
|
| 313 |
+
"loss": 0.4391960620880127,
|
| 314 |
+
"step": 800
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.053926525109538256,
|
| 318 |
+
"eval_loss": 0.42953070998191833,
|
| 319 |
+
"eval_runtime": 12.9323,
|
| 320 |
+
"eval_samples_per_second": 736.685,
|
| 321 |
+
"eval_steps_per_second": 11.522,
|
| 322 |
+
"step": 800
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 0.05527468823727671,
|
| 326 |
+
"grad_norm": 0.3125,
|
| 327 |
+
"learning_rate": 0.0003,
|
| 328 |
+
"loss": 0.4206435203552246,
|
| 329 |
+
"step": 820
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.056622851365015166,
|
| 333 |
+
"grad_norm": 0.27734375,
|
| 334 |
+
"learning_rate": 0.0003,
|
| 335 |
+
"loss": 0.40812020301818847,
|
| 336 |
+
"step": 840
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.057971014492753624,
|
| 340 |
+
"grad_norm": 0.265625,
|
| 341 |
+
"learning_rate": 0.0003,
|
| 342 |
+
"loss": 0.39541823863983155,
|
| 343 |
+
"step": 860
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 0.05931917762049208,
|
| 347 |
+
"grad_norm": 0.271484375,
|
| 348 |
+
"learning_rate": 0.0003,
|
| 349 |
+
"loss": 0.384733247756958,
|
| 350 |
+
"step": 880
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 0.06066734074823053,
|
| 354 |
+
"grad_norm": 0.26171875,
|
| 355 |
+
"learning_rate": 0.0003,
|
| 356 |
+
"loss": 0.38122236728668213,
|
| 357 |
+
"step": 900
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 0.06201550387596899,
|
| 361 |
+
"grad_norm": 0.263671875,
|
| 362 |
+
"learning_rate": 0.0003,
|
| 363 |
+
"loss": 0.3741811990737915,
|
| 364 |
+
"step": 920
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 0.06336366700370745,
|
| 368 |
+
"grad_norm": 0.263671875,
|
| 369 |
+
"learning_rate": 0.0003,
|
| 370 |
+
"loss": 0.3669325828552246,
|
| 371 |
+
"step": 940
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 0.06471183013144591,
|
| 375 |
+
"grad_norm": 0.255859375,
|
| 376 |
+
"learning_rate": 0.0003,
|
| 377 |
+
"loss": 0.35938591957092286,
|
| 378 |
+
"step": 960
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 0.06605999325918437,
|
| 382 |
+
"grad_norm": 0.27734375,
|
| 383 |
+
"learning_rate": 0.0003,
|
| 384 |
+
"loss": 0.35484201908111573,
|
| 385 |
+
"step": 980
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 0.06740815638692282,
|
| 389 |
+
"grad_norm": 0.28125,
|
| 390 |
+
"learning_rate": 0.0003,
|
| 391 |
+
"loss": 0.3519752025604248,
|
| 392 |
+
"step": 1000
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 0.06740815638692282,
|
| 396 |
+
"eval_loss": 0.3496977388858795,
|
| 397 |
+
"eval_runtime": 12.8738,
|
| 398 |
+
"eval_samples_per_second": 740.03,
|
| 399 |
+
"eval_steps_per_second": 11.574,
|
| 400 |
+
"step": 1000
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 0.06875631951466127,
|
| 404 |
+
"grad_norm": 0.26953125,
|
| 405 |
+
"learning_rate": 0.0003,
|
| 406 |
+
"loss": 0.34456572532653806,
|
| 407 |
+
"step": 1020
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 0.07010448264239973,
|
| 411 |
+
"grad_norm": 0.263671875,
|
| 412 |
+
"learning_rate": 0.0003,
|
| 413 |
+
"loss": 0.33809149265289307,
|
| 414 |
+
"step": 1040
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.07145264577013818,
|
| 418 |
+
"grad_norm": 0.265625,
|
| 419 |
+
"learning_rate": 0.0003,
|
| 420 |
+
"loss": 0.3359847068786621,
|
| 421 |
+
"step": 1060
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 0.07280080889787664,
|
| 425 |
+
"grad_norm": 0.287109375,
|
| 426 |
+
"learning_rate": 0.0003,
|
| 427 |
+
"loss": 0.3295122623443604,
|
| 428 |
+
"step": 1080
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.0741489720256151,
|
| 432 |
+
"grad_norm": 0.2890625,
|
| 433 |
+
"learning_rate": 0.0003,
|
| 434 |
+
"loss": 0.32773594856262206,
|
| 435 |
+
"step": 1100
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.07549713515335356,
|
| 439 |
+
"grad_norm": 0.28515625,
|
| 440 |
+
"learning_rate": 0.0003,
|
| 441 |
+
"loss": 0.32281956672668455,
|
| 442 |
+
"step": 1120
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 0.07684529828109202,
|
| 446 |
+
"grad_norm": 0.267578125,
|
| 447 |
+
"learning_rate": 0.0003,
|
| 448 |
+
"loss": 0.31684436798095705,
|
| 449 |
+
"step": 1140
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 0.07819346140883048,
|
| 453 |
+
"grad_norm": 0.30859375,
|
| 454 |
+
"learning_rate": 0.0003,
|
| 455 |
+
"loss": 0.3159658670425415,
|
| 456 |
+
"step": 1160
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 0.07954162453656892,
|
| 460 |
+
"grad_norm": 1.7265625,
|
| 461 |
+
"learning_rate": 0.0003,
|
| 462 |
+
"loss": 0.3564677476882935,
|
| 463 |
+
"step": 1180
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 0.08088978766430738,
|
| 467 |
+
"grad_norm": 0.5078125,
|
| 468 |
+
"learning_rate": 0.0003,
|
| 469 |
+
"loss": 0.33468797206878664,
|
| 470 |
+
"step": 1200
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 0.08088978766430738,
|
| 474 |
+
"eval_loss": 0.32294711470603943,
|
| 475 |
+
"eval_runtime": 12.8444,
|
| 476 |
+
"eval_samples_per_second": 741.724,
|
| 477 |
+
"eval_steps_per_second": 11.6,
|
| 478 |
+
"step": 1200
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.08223795079204584,
|
| 482 |
+
"grad_norm": 0.283203125,
|
| 483 |
+
"learning_rate": 0.0003,
|
| 484 |
+
"loss": 0.3153939723968506,
|
| 485 |
+
"step": 1220
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.0835861139197843,
|
| 489 |
+
"grad_norm": 0.25,
|
| 490 |
+
"learning_rate": 0.0003,
|
| 491 |
+
"loss": 0.31013171672821044,
|
| 492 |
+
"step": 1240
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.08493427704752275,
|
| 496 |
+
"grad_norm": 0.25,
|
| 497 |
+
"learning_rate": 0.0003,
|
| 498 |
+
"loss": 0.30731561183929446,
|
| 499 |
+
"step": 1260
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.08628244017526121,
|
| 503 |
+
"grad_norm": 0.251953125,
|
| 504 |
+
"learning_rate": 0.0003,
|
| 505 |
+
"loss": 0.30195567607879636,
|
| 506 |
+
"step": 1280
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.08763060330299967,
|
| 510 |
+
"grad_norm": 0.26171875,
|
| 511 |
+
"learning_rate": 0.0003,
|
| 512 |
+
"loss": 0.30084705352783203,
|
| 513 |
+
"step": 1300
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.08897876643073811,
|
| 517 |
+
"grad_norm": 0.2421875,
|
| 518 |
+
"learning_rate": 0.0003,
|
| 519 |
+
"loss": 0.297377610206604,
|
| 520 |
+
"step": 1320
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.09032692955847657,
|
| 524 |
+
"grad_norm": 0.24609375,
|
| 525 |
+
"learning_rate": 0.0003,
|
| 526 |
+
"loss": 0.29534096717834474,
|
| 527 |
+
"step": 1340
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.09167509268621503,
|
| 531 |
+
"grad_norm": 0.2451171875,
|
| 532 |
+
"learning_rate": 0.0003,
|
| 533 |
+
"loss": 0.29182398319244385,
|
| 534 |
+
"step": 1360
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.09302325581395349,
|
| 538 |
+
"grad_norm": 0.248046875,
|
| 539 |
+
"learning_rate": 0.0003,
|
| 540 |
+
"loss": 0.2910054922103882,
|
| 541 |
+
"step": 1380
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.09437141894169195,
|
| 545 |
+
"grad_norm": 0.26171875,
|
| 546 |
+
"learning_rate": 0.0003,
|
| 547 |
+
"loss": 0.2878779172897339,
|
| 548 |
+
"step": 1400
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.09437141894169195,
|
| 552 |
+
"eval_loss": 0.28991881012916565,
|
| 553 |
+
"eval_runtime": 12.8914,
|
| 554 |
+
"eval_samples_per_second": 739.02,
|
| 555 |
+
"eval_steps_per_second": 11.558,
|
| 556 |
+
"step": 1400
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.0957195820694304,
|
| 560 |
+
"grad_norm": 0.251953125,
|
| 561 |
+
"learning_rate": 0.0003,
|
| 562 |
+
"loss": 0.2875370502471924,
|
| 563 |
+
"step": 1420
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.09706774519716886,
|
| 567 |
+
"grad_norm": 0.24609375,
|
| 568 |
+
"learning_rate": 0.0003,
|
| 569 |
+
"loss": 0.28477251529693604,
|
| 570 |
+
"step": 1440
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.09841590832490732,
|
| 574 |
+
"grad_norm": 0.251953125,
|
| 575 |
+
"learning_rate": 0.0003,
|
| 576 |
+
"loss": 0.28224821090698243,
|
| 577 |
+
"step": 1460
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.09976407145264576,
|
| 581 |
+
"grad_norm": 0.24609375,
|
| 582 |
+
"learning_rate": 0.0003,
|
| 583 |
+
"loss": 0.2802304744720459,
|
| 584 |
+
"step": 1480
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.10111223458038422,
|
| 588 |
+
"grad_norm": 0.24609375,
|
| 589 |
+
"learning_rate": 0.0003,
|
| 590 |
+
"loss": 0.27904813289642333,
|
| 591 |
+
"step": 1500
|
| 592 |
+
}
|
| 593 |
+
],
|
| 594 |
+
"logging_steps": 20,
|
| 595 |
+
"max_steps": 2000,
|
| 596 |
+
"num_input_tokens_seen": 0,
|
| 597 |
+
"num_train_epochs": 1,
|
| 598 |
+
"save_steps": 500,
|
| 599 |
+
"stateful_callbacks": {
|
| 600 |
+
"TrainerControl": {
|
| 601 |
+
"args": {
|
| 602 |
+
"should_epoch_stop": false,
|
| 603 |
+
"should_evaluate": false,
|
| 604 |
+
"should_log": false,
|
| 605 |
+
"should_save": true,
|
| 606 |
+
"should_training_stop": false
|
| 607 |
+
},
|
| 608 |
+
"attributes": {}
|
| 609 |
+
}
|
| 610 |
+
},
|
| 611 |
+
"total_flos": 2226156208128000.0,
|
| 612 |
+
"train_batch_size": 64,
|
| 613 |
+
"trial_name": null,
|
| 614 |
+
"trial_params": null
|
| 615 |
+
}
|
out/glu-situglu-46L_run/checkpoint-1500/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:34907e35fb7d1b911fb670e6ed585e70819d6d19255391284922f26326637bab
|
| 3 |
+
size 4920
|
out/glu-situglu-46L_run/checkpoint-2000/config.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"activation": "situglu",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"TinyLlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"head_dim": 32,
|
| 12 |
+
"hidden_act": "silu",
|
| 13 |
+
"hidden_size": 128,
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 256,
|
| 16 |
+
"max_position_embeddings": 512,
|
| 17 |
+
"mlp_bias": false,
|
| 18 |
+
"mlp_type": "glu",
|
| 19 |
+
"model_type": "tiny_llama",
|
| 20 |
+
"num_attention_heads": 4,
|
| 21 |
+
"num_hidden_layers": 46,
|
| 22 |
+
"num_key_value_heads": 4,
|
| 23 |
+
"pad_token_id": 0,
|
| 24 |
+
"pretraining_tp": 1,
|
| 25 |
+
"rms_norm_eps": 1e-06,
|
| 26 |
+
"rope_parameters": {
|
| 27 |
+
"rope_theta": 10000.0,
|
| 28 |
+
"rope_type": "default"
|
| 29 |
+
},
|
| 30 |
+
"tie_word_embeddings": true,
|
| 31 |
+
"tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
|
| 32 |
+
"transformers_version": "5.15.0.dev0",
|
| 33 |
+
"use_cache": false,
|
| 34 |
+
"vocab_size": 4096
|
| 35 |
+
}
|
out/glu-situglu-46L_run/checkpoint-2000/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56a2dfa9ddb1646bec4c23a342aefa2df694d678c02484bddd669a0c3809b1f1
|
| 3 |
+
size 16191392
|
out/glu-situglu-46L_run/checkpoint-2000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc806169687adf5f417b0dc78e7f34e1731287ae6a6bb20e112c772fcaedd0f0
|
| 3 |
+
size 32639090
|
out/glu-situglu-46L_run/checkpoint-2000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b1a97db8e41139aa1239ba7fb79ddeb0af5998c6305a440c1fe182e6ad02f2f5
|
| 3 |
+
size 14244
|
out/glu-situglu-46L_run/checkpoint-2000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e91519ad666af6acc4beafd44aa617aefb90f632388a0f75cbf88f957400c190
|
| 3 |
+
size 1064
|
out/glu-situglu-46L_run/checkpoint-2000/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
out/glu-situglu-46L_run/checkpoint-2000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<|endoftext|>",
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"errors": "replace",
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"local_files_only": false,
|
| 9 |
+
"model_max_length": 1024,
|
| 10 |
+
"pad_token": "<|endoftext|>",
|
| 11 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 12 |
+
"unk_token": "<|endoftext|>"
|
| 13 |
+
}
|
out/glu-situglu-46L_run/checkpoint-2000/trainer_state.json
ADDED
|
@@ -0,0 +1,814 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.13481631277384565,
|
| 6 |
+
"eval_steps": 200,
|
| 7 |
+
"global_step": 2000,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0013481631277384564,
|
| 14 |
+
"grad_norm": 1.2578125,
|
| 15 |
+
"learning_rate": 0.0003,
|
| 16 |
+
"loss": 7.777313995361328,
|
| 17 |
+
"step": 20
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.002696326255476913,
|
| 21 |
+
"grad_norm": 1.1640625,
|
| 22 |
+
"learning_rate": 0.0003,
|
| 23 |
+
"loss": 7.018227386474609,
|
| 24 |
+
"step": 40
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.004044489383215369,
|
| 28 |
+
"grad_norm": 0.9296875,
|
| 29 |
+
"learning_rate": 0.0003,
|
| 30 |
+
"loss": 6.487169647216797,
|
| 31 |
+
"step": 60
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.005392652510953826,
|
| 35 |
+
"grad_norm": 0.68359375,
|
| 36 |
+
"learning_rate": 0.0003,
|
| 37 |
+
"loss": 6.167935562133789,
|
| 38 |
+
"step": 80
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.006740815638692282,
|
| 42 |
+
"grad_norm": 0.9296875,
|
| 43 |
+
"learning_rate": 0.0003,
|
| 44 |
+
"loss": 5.984228515625,
|
| 45 |
+
"step": 100
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.008088978766430738,
|
| 49 |
+
"grad_norm": 0.71484375,
|
| 50 |
+
"learning_rate": 0.0003,
|
| 51 |
+
"loss": 5.803854370117188,
|
| 52 |
+
"step": 120
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.009437141894169195,
|
| 56 |
+
"grad_norm": 0.71484375,
|
| 57 |
+
"learning_rate": 0.0003,
|
| 58 |
+
"loss": 5.414020919799805,
|
| 59 |
+
"step": 140
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.010785305021907651,
|
| 63 |
+
"grad_norm": 1.8046875,
|
| 64 |
+
"learning_rate": 0.0003,
|
| 65 |
+
"loss": 5.042311477661133,
|
| 66 |
+
"step": 160
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.012133468149646108,
|
| 70 |
+
"grad_norm": 1.15625,
|
| 71 |
+
"learning_rate": 0.0003,
|
| 72 |
+
"loss": 4.7203624725341795,
|
| 73 |
+
"step": 180
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.013481631277384564,
|
| 77 |
+
"grad_norm": 1.0078125,
|
| 78 |
+
"learning_rate": 0.0003,
|
| 79 |
+
"loss": 4.306383895874023,
|
| 80 |
+
"step": 200
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.013481631277384564,
|
| 84 |
+
"eval_loss": 4.0854411125183105,
|
| 85 |
+
"eval_runtime": 12.9528,
|
| 86 |
+
"eval_samples_per_second": 735.516,
|
| 87 |
+
"eval_steps_per_second": 11.503,
|
| 88 |
+
"step": 200
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 0.01482979440512302,
|
| 92 |
+
"grad_norm": 1.2578125,
|
| 93 |
+
"learning_rate": 0.0003,
|
| 94 |
+
"loss": 3.9115909576416015,
|
| 95 |
+
"step": 220
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 0.016177957532861477,
|
| 99 |
+
"grad_norm": 1.3359375,
|
| 100 |
+
"learning_rate": 0.0003,
|
| 101 |
+
"loss": 3.5526866912841797,
|
| 102 |
+
"step": 240
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 0.01752612066059993,
|
| 106 |
+
"grad_norm": 1.3828125,
|
| 107 |
+
"learning_rate": 0.0003,
|
| 108 |
+
"loss": 3.255462646484375,
|
| 109 |
+
"step": 260
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.01887428378833839,
|
| 113 |
+
"grad_norm": 1.640625,
|
| 114 |
+
"learning_rate": 0.0003,
|
| 115 |
+
"loss": 2.9794519424438475,
|
| 116 |
+
"step": 280
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.020222446916076844,
|
| 120 |
+
"grad_norm": 1.6328125,
|
| 121 |
+
"learning_rate": 0.0003,
|
| 122 |
+
"loss": 2.7179059982299805,
|
| 123 |
+
"step": 300
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.021570610043815303,
|
| 127 |
+
"grad_norm": 1.984375,
|
| 128 |
+
"learning_rate": 0.0003,
|
| 129 |
+
"loss": 2.466050720214844,
|
| 130 |
+
"step": 320
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.022918773171553757,
|
| 134 |
+
"grad_norm": 1.640625,
|
| 135 |
+
"learning_rate": 0.0003,
|
| 136 |
+
"loss": 2.239631462097168,
|
| 137 |
+
"step": 340
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.024266936299292215,
|
| 141 |
+
"grad_norm": 1.296875,
|
| 142 |
+
"learning_rate": 0.0003,
|
| 143 |
+
"loss": 2.0346961975097657,
|
| 144 |
+
"step": 360
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.02561509942703067,
|
| 148 |
+
"grad_norm": 1.25,
|
| 149 |
+
"learning_rate": 0.0003,
|
| 150 |
+
"loss": 1.8381683349609375,
|
| 151 |
+
"step": 380
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.026963262554769128,
|
| 155 |
+
"grad_norm": 1.34375,
|
| 156 |
+
"learning_rate": 0.0003,
|
| 157 |
+
"loss": 1.6442916870117188,
|
| 158 |
+
"step": 400
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.026963262554769128,
|
| 162 |
+
"eval_loss": 1.5559693574905396,
|
| 163 |
+
"eval_runtime": 12.8417,
|
| 164 |
+
"eval_samples_per_second": 741.882,
|
| 165 |
+
"eval_steps_per_second": 11.603,
|
| 166 |
+
"step": 400
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 0.028311425682507583,
|
| 170 |
+
"grad_norm": 1.734375,
|
| 171 |
+
"learning_rate": 0.0003,
|
| 172 |
+
"loss": 1.468704891204834,
|
| 173 |
+
"step": 420
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.02965958881024604,
|
| 177 |
+
"grad_norm": 0.98046875,
|
| 178 |
+
"learning_rate": 0.0003,
|
| 179 |
+
"loss": 1.3365660667419434,
|
| 180 |
+
"step": 440
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.031007751937984496,
|
| 184 |
+
"grad_norm": 1.125,
|
| 185 |
+
"learning_rate": 0.0003,
|
| 186 |
+
"loss": 1.1876847267150878,
|
| 187 |
+
"step": 460
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 0.032355915065722954,
|
| 191 |
+
"grad_norm": 1.203125,
|
| 192 |
+
"learning_rate": 0.0003,
|
| 193 |
+
"loss": 1.0664135932922363,
|
| 194 |
+
"step": 480
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.03370407819346141,
|
| 198 |
+
"grad_norm": 0.88671875,
|
| 199 |
+
"learning_rate": 0.0003,
|
| 200 |
+
"loss": 0.9525643348693847,
|
| 201 |
+
"step": 500
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.03505224132119986,
|
| 205 |
+
"grad_norm": 0.443359375,
|
| 206 |
+
"learning_rate": 0.0003,
|
| 207 |
+
"loss": 0.8542046546936035,
|
| 208 |
+
"step": 520
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 0.03640040444893832,
|
| 212 |
+
"grad_norm": 0.478515625,
|
| 213 |
+
"learning_rate": 0.0003,
|
| 214 |
+
"loss": 0.7644352912902832,
|
| 215 |
+
"step": 540
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.03774856757667678,
|
| 219 |
+
"grad_norm": 0.458984375,
|
| 220 |
+
"learning_rate": 0.0003,
|
| 221 |
+
"loss": 0.7011470794677734,
|
| 222 |
+
"step": 560
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 0.03909673070441524,
|
| 226 |
+
"grad_norm": 1.1015625,
|
| 227 |
+
"learning_rate": 0.0003,
|
| 228 |
+
"loss": 0.6564885139465332,
|
| 229 |
+
"step": 580
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 0.04044489383215369,
|
| 233 |
+
"grad_norm": 1.125,
|
| 234 |
+
"learning_rate": 0.0003,
|
| 235 |
+
"loss": 0.6372809410095215,
|
| 236 |
+
"step": 600
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.04044489383215369,
|
| 240 |
+
"eval_loss": 0.6188518404960632,
|
| 241 |
+
"eval_runtime": 12.883,
|
| 242 |
+
"eval_samples_per_second": 739.5,
|
| 243 |
+
"eval_steps_per_second": 11.566,
|
| 244 |
+
"step": 600
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 0.04179305695989215,
|
| 248 |
+
"grad_norm": 0.376953125,
|
| 249 |
+
"learning_rate": 0.0003,
|
| 250 |
+
"loss": 0.5965685844421387,
|
| 251 |
+
"step": 620
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.043141220087630605,
|
| 255 |
+
"grad_norm": 0.31640625,
|
| 256 |
+
"learning_rate": 0.0003,
|
| 257 |
+
"loss": 0.5641400814056396,
|
| 258 |
+
"step": 640
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 0.044489383215369056,
|
| 262 |
+
"grad_norm": 0.294921875,
|
| 263 |
+
"learning_rate": 0.0003,
|
| 264 |
+
"loss": 0.5308821678161622,
|
| 265 |
+
"step": 660
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.045837546343107514,
|
| 269 |
+
"grad_norm": 0.298828125,
|
| 270 |
+
"learning_rate": 0.0003,
|
| 271 |
+
"loss": 0.5098359107971191,
|
| 272 |
+
"step": 680
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.04718570947084597,
|
| 276 |
+
"grad_norm": 0.31640625,
|
| 277 |
+
"learning_rate": 0.0003,
|
| 278 |
+
"loss": 0.48752245903015134,
|
| 279 |
+
"step": 700
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.04853387259858443,
|
| 283 |
+
"grad_norm": 0.32421875,
|
| 284 |
+
"learning_rate": 0.0003,
|
| 285 |
+
"loss": 0.47258787155151366,
|
| 286 |
+
"step": 720
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 0.04988203572632288,
|
| 290 |
+
"grad_norm": 0.32421875,
|
| 291 |
+
"learning_rate": 0.0003,
|
| 292 |
+
"loss": 0.45342297554016114,
|
| 293 |
+
"step": 740
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 0.05123019885406134,
|
| 297 |
+
"grad_norm": 0.376953125,
|
| 298 |
+
"learning_rate": 0.0003,
|
| 299 |
+
"loss": 0.44418673515319823,
|
| 300 |
+
"step": 760
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.0525783619817998,
|
| 304 |
+
"grad_norm": 1.515625,
|
| 305 |
+
"learning_rate": 0.0003,
|
| 306 |
+
"loss": 0.45928277969360354,
|
| 307 |
+
"step": 780
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.053926525109538256,
|
| 311 |
+
"grad_norm": 0.703125,
|
| 312 |
+
"learning_rate": 0.0003,
|
| 313 |
+
"loss": 0.4391960620880127,
|
| 314 |
+
"step": 800
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.053926525109538256,
|
| 318 |
+
"eval_loss": 0.42953070998191833,
|
| 319 |
+
"eval_runtime": 12.9323,
|
| 320 |
+
"eval_samples_per_second": 736.685,
|
| 321 |
+
"eval_steps_per_second": 11.522,
|
| 322 |
+
"step": 800
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 0.05527468823727671,
|
| 326 |
+
"grad_norm": 0.3125,
|
| 327 |
+
"learning_rate": 0.0003,
|
| 328 |
+
"loss": 0.4206435203552246,
|
| 329 |
+
"step": 820
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.056622851365015166,
|
| 333 |
+
"grad_norm": 0.27734375,
|
| 334 |
+
"learning_rate": 0.0003,
|
| 335 |
+
"loss": 0.40812020301818847,
|
| 336 |
+
"step": 840
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.057971014492753624,
|
| 340 |
+
"grad_norm": 0.265625,
|
| 341 |
+
"learning_rate": 0.0003,
|
| 342 |
+
"loss": 0.39541823863983155,
|
| 343 |
+
"step": 860
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 0.05931917762049208,
|
| 347 |
+
"grad_norm": 0.271484375,
|
| 348 |
+
"learning_rate": 0.0003,
|
| 349 |
+
"loss": 0.384733247756958,
|
| 350 |
+
"step": 880
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 0.06066734074823053,
|
| 354 |
+
"grad_norm": 0.26171875,
|
| 355 |
+
"learning_rate": 0.0003,
|
| 356 |
+
"loss": 0.38122236728668213,
|
| 357 |
+
"step": 900
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 0.06201550387596899,
|
| 361 |
+
"grad_norm": 0.263671875,
|
| 362 |
+
"learning_rate": 0.0003,
|
| 363 |
+
"loss": 0.3741811990737915,
|
| 364 |
+
"step": 920
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 0.06336366700370745,
|
| 368 |
+
"grad_norm": 0.263671875,
|
| 369 |
+
"learning_rate": 0.0003,
|
| 370 |
+
"loss": 0.3669325828552246,
|
| 371 |
+
"step": 940
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 0.06471183013144591,
|
| 375 |
+
"grad_norm": 0.255859375,
|
| 376 |
+
"learning_rate": 0.0003,
|
| 377 |
+
"loss": 0.35938591957092286,
|
| 378 |
+
"step": 960
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 0.06605999325918437,
|
| 382 |
+
"grad_norm": 0.27734375,
|
| 383 |
+
"learning_rate": 0.0003,
|
| 384 |
+
"loss": 0.35484201908111573,
|
| 385 |
+
"step": 980
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 0.06740815638692282,
|
| 389 |
+
"grad_norm": 0.28125,
|
| 390 |
+
"learning_rate": 0.0003,
|
| 391 |
+
"loss": 0.3519752025604248,
|
| 392 |
+
"step": 1000
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 0.06740815638692282,
|
| 396 |
+
"eval_loss": 0.3496977388858795,
|
| 397 |
+
"eval_runtime": 12.8738,
|
| 398 |
+
"eval_samples_per_second": 740.03,
|
| 399 |
+
"eval_steps_per_second": 11.574,
|
| 400 |
+
"step": 1000
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 0.06875631951466127,
|
| 404 |
+
"grad_norm": 0.26953125,
|
| 405 |
+
"learning_rate": 0.0003,
|
| 406 |
+
"loss": 0.34456572532653806,
|
| 407 |
+
"step": 1020
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 0.07010448264239973,
|
| 411 |
+
"grad_norm": 0.263671875,
|
| 412 |
+
"learning_rate": 0.0003,
|
| 413 |
+
"loss": 0.33809149265289307,
|
| 414 |
+
"step": 1040
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.07145264577013818,
|
| 418 |
+
"grad_norm": 0.265625,
|
| 419 |
+
"learning_rate": 0.0003,
|
| 420 |
+
"loss": 0.3359847068786621,
|
| 421 |
+
"step": 1060
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 0.07280080889787664,
|
| 425 |
+
"grad_norm": 0.287109375,
|
| 426 |
+
"learning_rate": 0.0003,
|
| 427 |
+
"loss": 0.3295122623443604,
|
| 428 |
+
"step": 1080
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.0741489720256151,
|
| 432 |
+
"grad_norm": 0.2890625,
|
| 433 |
+
"learning_rate": 0.0003,
|
| 434 |
+
"loss": 0.32773594856262206,
|
| 435 |
+
"step": 1100
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.07549713515335356,
|
| 439 |
+
"grad_norm": 0.28515625,
|
| 440 |
+
"learning_rate": 0.0003,
|
| 441 |
+
"loss": 0.32281956672668455,
|
| 442 |
+
"step": 1120
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 0.07684529828109202,
|
| 446 |
+
"grad_norm": 0.267578125,
|
| 447 |
+
"learning_rate": 0.0003,
|
| 448 |
+
"loss": 0.31684436798095705,
|
| 449 |
+
"step": 1140
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 0.07819346140883048,
|
| 453 |
+
"grad_norm": 0.30859375,
|
| 454 |
+
"learning_rate": 0.0003,
|
| 455 |
+
"loss": 0.3159658670425415,
|
| 456 |
+
"step": 1160
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 0.07954162453656892,
|
| 460 |
+
"grad_norm": 1.7265625,
|
| 461 |
+
"learning_rate": 0.0003,
|
| 462 |
+
"loss": 0.3564677476882935,
|
| 463 |
+
"step": 1180
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 0.08088978766430738,
|
| 467 |
+
"grad_norm": 0.5078125,
|
| 468 |
+
"learning_rate": 0.0003,
|
| 469 |
+
"loss": 0.33468797206878664,
|
| 470 |
+
"step": 1200
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 0.08088978766430738,
|
| 474 |
+
"eval_loss": 0.32294711470603943,
|
| 475 |
+
"eval_runtime": 12.8444,
|
| 476 |
+
"eval_samples_per_second": 741.724,
|
| 477 |
+
"eval_steps_per_second": 11.6,
|
| 478 |
+
"step": 1200
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.08223795079204584,
|
| 482 |
+
"grad_norm": 0.283203125,
|
| 483 |
+
"learning_rate": 0.0003,
|
| 484 |
+
"loss": 0.3153939723968506,
|
| 485 |
+
"step": 1220
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.0835861139197843,
|
| 489 |
+
"grad_norm": 0.25,
|
| 490 |
+
"learning_rate": 0.0003,
|
| 491 |
+
"loss": 0.31013171672821044,
|
| 492 |
+
"step": 1240
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.08493427704752275,
|
| 496 |
+
"grad_norm": 0.25,
|
| 497 |
+
"learning_rate": 0.0003,
|
| 498 |
+
"loss": 0.30731561183929446,
|
| 499 |
+
"step": 1260
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.08628244017526121,
|
| 503 |
+
"grad_norm": 0.251953125,
|
| 504 |
+
"learning_rate": 0.0003,
|
| 505 |
+
"loss": 0.30195567607879636,
|
| 506 |
+
"step": 1280
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.08763060330299967,
|
| 510 |
+
"grad_norm": 0.26171875,
|
| 511 |
+
"learning_rate": 0.0003,
|
| 512 |
+
"loss": 0.30084705352783203,
|
| 513 |
+
"step": 1300
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.08897876643073811,
|
| 517 |
+
"grad_norm": 0.2421875,
|
| 518 |
+
"learning_rate": 0.0003,
|
| 519 |
+
"loss": 0.297377610206604,
|
| 520 |
+
"step": 1320
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.09032692955847657,
|
| 524 |
+
"grad_norm": 0.24609375,
|
| 525 |
+
"learning_rate": 0.0003,
|
| 526 |
+
"loss": 0.29534096717834474,
|
| 527 |
+
"step": 1340
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.09167509268621503,
|
| 531 |
+
"grad_norm": 0.2451171875,
|
| 532 |
+
"learning_rate": 0.0003,
|
| 533 |
+
"loss": 0.29182398319244385,
|
| 534 |
+
"step": 1360
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.09302325581395349,
|
| 538 |
+
"grad_norm": 0.248046875,
|
| 539 |
+
"learning_rate": 0.0003,
|
| 540 |
+
"loss": 0.2910054922103882,
|
| 541 |
+
"step": 1380
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.09437141894169195,
|
| 545 |
+
"grad_norm": 0.26171875,
|
| 546 |
+
"learning_rate": 0.0003,
|
| 547 |
+
"loss": 0.2878779172897339,
|
| 548 |
+
"step": 1400
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.09437141894169195,
|
| 552 |
+
"eval_loss": 0.28991881012916565,
|
| 553 |
+
"eval_runtime": 12.8914,
|
| 554 |
+
"eval_samples_per_second": 739.02,
|
| 555 |
+
"eval_steps_per_second": 11.558,
|
| 556 |
+
"step": 1400
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.0957195820694304,
|
| 560 |
+
"grad_norm": 0.251953125,
|
| 561 |
+
"learning_rate": 0.0003,
|
| 562 |
+
"loss": 0.2875370502471924,
|
| 563 |
+
"step": 1420
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.09706774519716886,
|
| 567 |
+
"grad_norm": 0.24609375,
|
| 568 |
+
"learning_rate": 0.0003,
|
| 569 |
+
"loss": 0.28477251529693604,
|
| 570 |
+
"step": 1440
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.09841590832490732,
|
| 574 |
+
"grad_norm": 0.251953125,
|
| 575 |
+
"learning_rate": 0.0003,
|
| 576 |
+
"loss": 0.28224821090698243,
|
| 577 |
+
"step": 1460
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.09976407145264576,
|
| 581 |
+
"grad_norm": 0.24609375,
|
| 582 |
+
"learning_rate": 0.0003,
|
| 583 |
+
"loss": 0.2802304744720459,
|
| 584 |
+
"step": 1480
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.10111223458038422,
|
| 588 |
+
"grad_norm": 0.24609375,
|
| 589 |
+
"learning_rate": 0.0003,
|
| 590 |
+
"loss": 0.27904813289642333,
|
| 591 |
+
"step": 1500
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.10246039770812268,
|
| 595 |
+
"grad_norm": 0.248046875,
|
| 596 |
+
"learning_rate": 0.0003,
|
| 597 |
+
"loss": 0.27666282653808594,
|
| 598 |
+
"step": 1520
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.10380856083586114,
|
| 602 |
+
"grad_norm": 0.259765625,
|
| 603 |
+
"learning_rate": 0.0003,
|
| 604 |
+
"loss": 0.2755317211151123,
|
| 605 |
+
"step": 1540
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.1051567239635996,
|
| 609 |
+
"grad_norm": 0.25390625,
|
| 610 |
+
"learning_rate": 0.0003,
|
| 611 |
+
"loss": 0.27470548152923585,
|
| 612 |
+
"step": 1560
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.10650488709133805,
|
| 616 |
+
"grad_norm": 0.259765625,
|
| 617 |
+
"learning_rate": 0.0003,
|
| 618 |
+
"loss": 0.27537152767181394,
|
| 619 |
+
"step": 1580
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.10785305021907651,
|
| 623 |
+
"grad_norm": 1.5703125,
|
| 624 |
+
"learning_rate": 0.0003,
|
| 625 |
+
"loss": 0.3053688287734985,
|
| 626 |
+
"step": 1600
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.10785305021907651,
|
| 630 |
+
"eval_loss": 0.3011101484298706,
|
| 631 |
+
"eval_runtime": 12.9063,
|
| 632 |
+
"eval_samples_per_second": 738.168,
|
| 633 |
+
"eval_steps_per_second": 11.545,
|
| 634 |
+
"step": 1600
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.10920121334681497,
|
| 638 |
+
"grad_norm": 0.45703125,
|
| 639 |
+
"learning_rate": 0.0003,
|
| 640 |
+
"loss": 0.28953573703765867,
|
| 641 |
+
"step": 1620
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.11054937647455342,
|
| 645 |
+
"grad_norm": 0.265625,
|
| 646 |
+
"learning_rate": 0.0003,
|
| 647 |
+
"loss": 0.2765570878982544,
|
| 648 |
+
"step": 1640
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.11189753960229187,
|
| 652 |
+
"grad_norm": 0.240234375,
|
| 653 |
+
"learning_rate": 0.0003,
|
| 654 |
+
"loss": 0.2706732749938965,
|
| 655 |
+
"step": 1660
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.11324570273003033,
|
| 659 |
+
"grad_norm": 0.234375,
|
| 660 |
+
"learning_rate": 0.0003,
|
| 661 |
+
"loss": 0.26884875297546384,
|
| 662 |
+
"step": 1680
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.11459386585776879,
|
| 666 |
+
"grad_norm": 0.236328125,
|
| 667 |
+
"learning_rate": 0.0003,
|
| 668 |
+
"loss": 0.2686060190200806,
|
| 669 |
+
"step": 1700
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.11594202898550725,
|
| 673 |
+
"grad_norm": 0.2373046875,
|
| 674 |
+
"learning_rate": 0.0003,
|
| 675 |
+
"loss": 0.2660403251647949,
|
| 676 |
+
"step": 1720
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.1172901921132457,
|
| 680 |
+
"grad_norm": 0.2373046875,
|
| 681 |
+
"learning_rate": 0.0003,
|
| 682 |
+
"loss": 0.26566119194030763,
|
| 683 |
+
"step": 1740
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.11863835524098416,
|
| 687 |
+
"grad_norm": 0.236328125,
|
| 688 |
+
"learning_rate": 0.0003,
|
| 689 |
+
"loss": 0.26347191333770753,
|
| 690 |
+
"step": 1760
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.11998651836872262,
|
| 694 |
+
"grad_norm": 0.232421875,
|
| 695 |
+
"learning_rate": 0.0003,
|
| 696 |
+
"loss": 0.26403193473815917,
|
| 697 |
+
"step": 1780
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.12133468149646107,
|
| 701 |
+
"grad_norm": 0.2333984375,
|
| 702 |
+
"learning_rate": 0.0003,
|
| 703 |
+
"loss": 0.26373121738433836,
|
| 704 |
+
"step": 1800
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.12133468149646107,
|
| 708 |
+
"eval_loss": 0.2626025974750519,
|
| 709 |
+
"eval_runtime": 12.8738,
|
| 710 |
+
"eval_samples_per_second": 740.029,
|
| 711 |
+
"eval_steps_per_second": 11.574,
|
| 712 |
+
"step": 1800
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 0.12268284462419952,
|
| 716 |
+
"grad_norm": 0.232421875,
|
| 717 |
+
"learning_rate": 0.0003,
|
| 718 |
+
"loss": 0.2631482362747192,
|
| 719 |
+
"step": 1820
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 0.12403100775193798,
|
| 723 |
+
"grad_norm": 0.2294921875,
|
| 724 |
+
"learning_rate": 0.0003,
|
| 725 |
+
"loss": 0.25759310722351075,
|
| 726 |
+
"step": 1840
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 0.12537917087967643,
|
| 730 |
+
"grad_norm": 0.2353515625,
|
| 731 |
+
"learning_rate": 0.0003,
|
| 732 |
+
"loss": 0.2573524475097656,
|
| 733 |
+
"step": 1860
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.1267273340074149,
|
| 737 |
+
"grad_norm": 0.236328125,
|
| 738 |
+
"learning_rate": 0.0003,
|
| 739 |
+
"loss": 0.256460165977478,
|
| 740 |
+
"step": 1880
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 0.12807549713515334,
|
| 744 |
+
"grad_norm": 0.232421875,
|
| 745 |
+
"learning_rate": 0.0003,
|
| 746 |
+
"loss": 0.2563998937606812,
|
| 747 |
+
"step": 1900
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.12942366026289182,
|
| 751 |
+
"grad_norm": 0.2353515625,
|
| 752 |
+
"learning_rate": 0.0003,
|
| 753 |
+
"loss": 0.25412280559539796,
|
| 754 |
+
"step": 1920
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 0.13077182339063026,
|
| 758 |
+
"grad_norm": 0.2333984375,
|
| 759 |
+
"learning_rate": 0.0003,
|
| 760 |
+
"loss": 0.25445094108581545,
|
| 761 |
+
"step": 1940
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.13211998651836873,
|
| 765 |
+
"grad_norm": 0.228515625,
|
| 766 |
+
"learning_rate": 0.0003,
|
| 767 |
+
"loss": 0.251305890083313,
|
| 768 |
+
"step": 1960
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.13346814964610718,
|
| 772 |
+
"grad_norm": 0.23046875,
|
| 773 |
+
"learning_rate": 0.0003,
|
| 774 |
+
"loss": 0.2525143623352051,
|
| 775 |
+
"step": 1980
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.13481631277384565,
|
| 779 |
+
"grad_norm": 0.2275390625,
|
| 780 |
+
"learning_rate": 0.0003,
|
| 781 |
+
"loss": 0.2518260717391968,
|
| 782 |
+
"step": 2000
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.13481631277384565,
|
| 786 |
+
"eval_loss": 0.2533577084541321,
|
| 787 |
+
"eval_runtime": 12.8891,
|
| 788 |
+
"eval_samples_per_second": 739.153,
|
| 789 |
+
"eval_steps_per_second": 11.56,
|
| 790 |
+
"step": 2000
|
| 791 |
+
}
|
| 792 |
+
],
|
| 793 |
+
"logging_steps": 20,
|
| 794 |
+
"max_steps": 2000,
|
| 795 |
+
"num_input_tokens_seen": 0,
|
| 796 |
+
"num_train_epochs": 1,
|
| 797 |
+
"save_steps": 500,
|
| 798 |
+
"stateful_callbacks": {
|
| 799 |
+
"TrainerControl": {
|
| 800 |
+
"args": {
|
| 801 |
+
"should_epoch_stop": false,
|
| 802 |
+
"should_evaluate": false,
|
| 803 |
+
"should_log": false,
|
| 804 |
+
"should_save": true,
|
| 805 |
+
"should_training_stop": true
|
| 806 |
+
},
|
| 807 |
+
"attributes": {}
|
| 808 |
+
}
|
| 809 |
+
},
|
| 810 |
+
"total_flos": 2968208277504000.0,
|
| 811 |
+
"train_batch_size": 64,
|
| 812 |
+
"trial_name": null,
|
| 813 |
+
"trial_params": null
|
| 814 |
+
}
|
out/glu-situglu-46L_run/checkpoint-2000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:34907e35fb7d1b911fb670e6ed585e70819d6d19255391284922f26326637bab
|
| 3 |
+
size 4920
|
out/glu-situglu-46L_run/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 16191392
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56a2dfa9ddb1646bec4c23a342aefa2df694d678c02484bddd669a0c3809b1f1
|
| 3 |
size 16191392
|
out/glu-situglu-46L_run/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
out/glu-situglu-46L_run/tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<|endoftext|>",
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"errors": "replace",
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"local_files_only": false,
|
| 9 |
+
"model_max_length": 1024,
|
| 10 |
+
"pad_token": "<|endoftext|>",
|
| 11 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 12 |
+
"unk_token": "<|endoftext|>"
|
| 13 |
+
}
|
out/glu-situglu-46L_run/training_log.jsonl
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
out/sweep_summary.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
[
|
| 2 |
{
|
| 3 |
-
"variant": "glu-
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"out": "out/glu-
|
| 6 |
-
"run_name": "LM-glu-
|
| 7 |
}
|
| 8 |
]
|
|
|
|
| 1 |
[
|
| 2 |
{
|
| 3 |
+
"variant": "glu-situglu-46L",
|
| 4 |
+
"eval_loss": 0.2533577084541321,
|
| 5 |
+
"out": "out/glu-situglu-46L_run",
|
| 6 |
+
"run_name": "LM-glu-situglu-46L-8.1M-20260806-220208"
|
| 7 |
}
|
| 8 |
]
|
wandb/debug-internal.log
CHANGED
|
@@ -1,45 +1,16 @@
|
|
| 1 |
-
{"time":"2026-08-06T22:
|
| 2 |
-
{"time":"2026-08-06T22:
|
| 3 |
-
{"time":"2026-08-06T22:
|
| 4 |
-
{"time":"2026-08-06T22:
|
| 5 |
-
{"time":"2026-08-06T22:
|
| 6 |
-
{"time":"2026-08-06T22:
|
| 7 |
-
{"time":"2026-08-06T22:
|
| 8 |
-
{"time":"2026-08-06T22:
|
| 9 |
-
{"time":"2026-08-06T22:
|
| 10 |
-
{"time":"2026-08-06T22:
|
| 11 |
-
{"time":"2026-08-06T22:
|
| 12 |
-
{"time":"2026-08-06T22:
|
| 13 |
-
{"time":"2026-08-06T22:
|
| 14 |
-
{"time":"2026-08-06T22:
|
| 15 |
-
{"time":"2026-08-06T22:
|
| 16 |
-
{"time":"2026-08-06T22:
|
| 17 |
-
{"time":"2026-08-06T22:02:57.094993627Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 18 |
-
{"time":"2026-08-06T22:03:11.265458823Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":10,"history_lines":3,"events_offset":6,"events_lines":2,"console_offset":3,"console_lines":1}
|
| 19 |
-
{"time":"2026-08-06T22:03:12.009485123Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 20 |
-
{"time":"2026-08-06T22:03:26.260845284Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":13,"history_lines":5,"events_offset":8,"events_lines":2,"console_offset":3,"console_lines":1}
|
| 21 |
-
{"time":"2026-08-06T22:03:27.030852793Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 22 |
-
{"time":"2026-08-06T22:03:41.255004725Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":18,"history_lines":3,"events_offset":10,"events_lines":2,"console_offset":3,"console_lines":1}
|
| 23 |
-
{"time":"2026-08-06T22:03:42.192468259Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 24 |
-
{"time":"2026-08-06T22:03:56.263062149Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":21,"history_lines":2,"events_offset":12,"events_lines":2,"console_offset":3,"console_lines":1}
|
| 25 |
-
{"time":"2026-08-06T22:03:57.052026068Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 26 |
-
{"time":"2026-08-06T22:04:11.254447095Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":23,"history_lines":4,"events_offset":14,"events_lines":2,"console_offset":3,"console_lines":1}
|
| 27 |
-
{"time":"2026-08-06T22:04:11.999000035Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 28 |
-
{"time":"2026-08-06T22:04:26.259376734Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":27,"history_lines":5,"events_offset":16,"events_lines":2,"console_offset":7,"console_lines":35}
|
| 29 |
-
{"time":"2026-08-06T22:04:26.962933158Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 30 |
-
{"time":"2026-08-06T22:04:41.253315539Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":32,"history_lines":1,"events_offset":18,"events_lines":2,"console_offset":35,"console_lines":1}
|
| 31 |
-
{"time":"2026-08-06T22:04:41.939592823Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 32 |
-
{"time":"2026-08-06T22:04:56.273055382Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":33,"history_lines":4,"events_offset":20,"events_lines":2,"console_offset":41,"console_lines":7}
|
| 33 |
-
{"time":"2026-08-06T22:04:57.037136274Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 34 |
-
{"time":"2026-08-06T22:05:11.253862511Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":37,"history_lines":4,"events_offset":22,"events_lines":2,"console_offset":43,"console_lines":1}
|
| 35 |
-
{"time":"2026-08-06T22:05:12.016225948Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 36 |
-
{"time":"2026-08-06T22:05:26.257933026Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":41,"history_lines":2,"events_offset":24,"events_lines":2,"console_offset":43,"console_lines":1}
|
| 37 |
-
{"time":"2026-08-06T22:05:27.024432683Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 38 |
-
{"time":"2026-08-06T22:05:41.26517801Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":43,"history_lines":4,"events_offset":26,"events_lines":2,"console_offset":43,"console_lines":1}
|
| 39 |
-
{"time":"2026-08-06T22:05:42.022163128Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 40 |
-
{"time":"2026-08-06T22:05:56.258337796Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":47,"history_lines":4,"events_offset":28,"events_lines":2,"console_offset":43,"console_lines":1}
|
| 41 |
-
{"time":"2026-08-06T22:05:56.999137455Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 42 |
-
{"time":"2026-08-06T22:06:11.25661141Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":51,"history_lines":3,"events_offset":30,"events_lines":2,"console_offset":43,"console_lines":1}
|
| 43 |
-
{"time":"2026-08-06T22:06:11.994405709Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 44 |
-
{"time":"2026-08-06T22:06:26.264028494Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":54,"history_lines":3,"events_offset":32,"events_lines":2,"console_offset":43,"console_lines":1}
|
| 45 |
-
{"time":"2026-08-06T22:06:27.039669461Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
|
|
|
| 1 |
+
{"time":"2026-08-06T22:10:51.560889469Z","level":"INFO","msg":"wandb-core"}
|
| 2 |
+
{"time":"2026-08-06T22:10:51.561040889Z","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
|
| 3 |
+
{"time":"2026-08-06T22:10:51.824453065Z","level":"INFO","msg":"stream: created new stream","id":"mmhv6fed"}
|
| 4 |
+
{"time":"2026-08-06T22:10:51.824520599Z","level":"INFO","msg":"handler: started"}
|
| 5 |
+
{"time":"2026-08-06T22:10:51.824623415Z","level":"INFO","msg":"stream: started"}
|
| 6 |
+
{"time":"2026-08-06T22:10:51.824635807Z","level":"INFO","msg":"writer: started","stream_id":"mmhv6fed"}
|
| 7 |
+
{"time":"2026-08-06T22:10:51.824649794Z","level":"INFO","msg":"sender: started"}
|
| 8 |
+
{"time":"2026-08-06T22:10:52.410732504Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
|
| 9 |
+
{"time":"2026-08-06T22:10:52.510603182Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 10 |
+
{"time":"2026-08-06T22:10:57.074452741Z","level":"INFO","msg":"flowcontrol: backed up, offloading to disk","recordNumber":75}
|
| 11 |
+
{"time":"2026-08-06T22:10:57.100284509Z","level":"INFO","msg":"flowcontrol: unblocked","totalOffloaded":9163}
|
| 12 |
+
{"time":"2026-08-06T22:11:07.431056645Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":0,"history_lines":3,"events_offset":0,"events_lines":2,"console_offset":1,"console_lines":6,"uploaded_len":2}
|
| 13 |
+
{"time":"2026-08-06T22:11:07.952818264Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 14 |
+
{"time":"2026-08-06T22:11:22.422377118Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":3,"history_lines":5,"events_offset":2,"events_lines":2,"console_offset":3,"console_lines":1}
|
| 15 |
+
{"time":"2026-08-06T22:11:23.043122927Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 16 |
+
{"time":"2026-08-06T22:11:37.420253551Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":8,"history_lines":2,"events_offset":4,"events_lines":2,"console_offset":3,"console_lines":1}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
wandb/debug.log
CHANGED
|
@@ -1,23 +1,23 @@
|
|
| 1 |
-
2026-08-06 22:
|
| 2 |
-
2026-08-06 22:
|
| 3 |
-
2026-08-06 22:
|
| 4 |
-
2026-08-06 22:
|
| 5 |
-
2026-08-06 22:
|
| 6 |
-
2026-08-06 22:
|
| 7 |
-
2026-08-06 22:
|
| 8 |
config: {'_wandb': {}}
|
| 9 |
-
2026-08-06 22:
|
| 10 |
-
2026-08-06 22:
|
| 11 |
-
2026-08-06 22:
|
| 12 |
-
2026-08-06 22:
|
| 13 |
-
2026-08-06 22:
|
| 14 |
-
2026-08-06 22:
|
| 15 |
-
2026-08-06 22:
|
| 16 |
-
2026-08-06 22:
|
| 17 |
-
2026-08-06 22:
|
| 18 |
-
2026-08-06 22:
|
| 19 |
-
2026-08-06 22:
|
| 20 |
-
2026-08-06 22:
|
| 21 |
-
2026-08-06 22:
|
| 22 |
-
2026-08-06 22:
|
| 23 |
-
2026-08-06 22:
|
|
|
|
| 1 |
+
2026-08-06 22:10:51,557 INFO MainThread:1365488 [wandb_setup.py:_flush():81] Current SDK version is 0.28.1
|
| 2 |
+
2026-08-06 22:10:51,559 INFO MainThread:1365488 [wandb_setup.py:_flush():81] Configure stats pid to 1365488
|
| 3 |
+
2026-08-06 22:10:51,559 INFO MainThread:1365488 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-08-06 22:10:51,559 INFO MainThread:1365488 [wandb_init.py:setup_run_log_directory():729] Logging user logs to /mnt/data/zainulabideen/zain-exp/notebooks/Activation/wandb/run-20260806_221051-mmhv6fed/logs/debug.log
|
| 5 |
+
2026-08-06 22:10:51,559 INFO MainThread:1365488 [wandb_init.py:setup_run_log_directory():730] Logging internal logs to /mnt/data/zainulabideen/zain-exp/notebooks/Activation/wandb/run-20260806_221051-mmhv6fed/logs/debug-internal.log
|
| 6 |
+
2026-08-06 22:10:51,559 INFO MainThread:1365488 [wandb_init.py:init():772] calling init triggers
|
| 7 |
+
2026-08-06 22:10:51,559 INFO MainThread:1365488 [wandb_init.py:init():777] wandb.init called with sweep_config: {}
|
| 8 |
config: {'_wandb': {}}
|
| 9 |
+
2026-08-06 22:10:51,559 INFO MainThread:1365488 [wandb_init.py:init():820] starting backend
|
| 10 |
+
2026-08-06 22:10:51,559 INFO MainThread:1365488 [wandb_init.py:init():826] Connected to an existing wandb-core service via WANDB_SERVICE
|
| 11 |
+
2026-08-06 22:10:51,559 INFO MainThread:1365488 [wandb_init.py:init():835] sending inform_init request
|
| 12 |
+
2026-08-06 22:10:51,825 INFO MainThread:1365488 [wandb_init.py:init():840] backend started and connected
|
| 13 |
+
2026-08-06 22:10:51,828 INFO MainThread:1365488 [wandb_init.py:init():910] updated telemetry
|
| 14 |
+
2026-08-06 22:10:51,835 INFO MainThread:1365488 [wandb_init.py:init():933] communicating run to backend with 90.0 second timeout
|
| 15 |
+
2026-08-06 22:10:52,146 INFO MainThread:1365488 [wandb_init.py:init():978] starting run threads in backend
|
| 16 |
+
2026-08-06 22:10:52,218 INFO MainThread:1365488 [wandb_run.py:_console_start():2621] atexit reg
|
| 17 |
+
2026-08-06 22:10:52,218 INFO MainThread:1365488 [wandb_run.py:_redirect():2471] redirect: wrap_raw
|
| 18 |
+
2026-08-06 22:10:52,218 INFO MainThread:1365488 [wandb_run.py:_redirect():2540] Wrapping output streams.
|
| 19 |
+
2026-08-06 22:10:52,219 INFO MainThread:1365488 [wandb_run.py:_redirect():2563] Redirects installed.
|
| 20 |
+
2026-08-06 22:10:52,222 INFO MainThread:1365488 [wandb_init.py:init():1016] run started, returning control to user process
|
| 21 |
+
2026-08-06 22:10:52,223 INFO MainThread:1365488 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.15.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 4096, 'hidden_size': 128, 'intermediate_size': 256, 'num_hidden_layers': 46, 'num_attention_heads': 4, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 32, '_name_or_path': '', 'tokenizer_name': 'w-ahmad/tiny-stories-tokenizer', 'mlp_type': 'glu', 'activation': 's10', 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/glu-s10-46L_run', 'per_device_train_batch_size': 64, 'num_train_epochs': 1, 'max_steps': 2000, 'learning_rate': 0.0003, 'lr_scheduler_type': 'constant', 'lr_scheduler_kwargs': None, 'warmup_steps': 0, 'optim': 'adamw_torch', 'optim_args': None, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 1, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 20, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': 'LM-glu-s10-46L-8.1M-20260806-221050', 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 200, 'eval_delay': 0, 'per_device_eval_batch_size': 64, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 500, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': True, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/ACTio-glu-s10-46L', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
|
| 22 |
+
2026-08-06 22:10:52,226 INFO MainThread:1365488 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 8072832 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x1499e0521dd0>>
|
| 23 |
+
2026-08-06 22:10:52,226 INFO MainThread:1365488 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 8072832 None
|
wandb/run-20260806_202910-50qq810b/logs/debug-core.log
CHANGED
|
@@ -294,3 +294,15 @@
|
|
| 294 |
{"time":"2026-08-06T22:02:10.439113476Z","level":"INFO","msg":"handleInformInit: received","streamId":"y74jog3n","id":"19(@)"}
|
| 295 |
{"time":"2026-08-06T22:02:10.698054902Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"y74jog3n","id":"19(@)"}
|
| 296 |
{"time":"2026-08-06T22:02:16.042923531Z","level":"INFO","msg":"connection: cancelling request","id":"19(@)","requestId":"zee4komq248b"}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 294 |
{"time":"2026-08-06T22:02:10.439113476Z","level":"INFO","msg":"handleInformInit: received","streamId":"y74jog3n","id":"19(@)"}
|
| 295 |
{"time":"2026-08-06T22:02:10.698054902Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"y74jog3n","id":"19(@)"}
|
| 296 |
{"time":"2026-08-06T22:02:16.042923531Z","level":"INFO","msg":"connection: cancelling request","id":"19(@)","requestId":"zee4komq248b"}
|
| 297 |
+
{"time":"2026-08-06T22:10:40.201957301Z","level":"INFO","msg":"connection: cancelling request","id":"19(@)","requestId":"zee4komq248b"}
|
| 298 |
+
{"time":"2026-08-06T22:10:41.673521316Z","level":"INFO","msg":"connection: cancelling request","id":"19(@)","requestId":"zee4komq248b"}
|
| 299 |
+
{"time":"2026-08-06T22:10:41.690938257Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"y74jog3n","id":"19(@)"}
|
| 300 |
+
{"time":"2026-08-06T22:10:41.691692107Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"y74jog3n","id":"19(@)"}
|
| 301 |
+
{"time":"2026-08-06T22:10:43.724610654Z","level":"INFO","msg":"connection: closing","id":"19(@)"}
|
| 302 |
+
{"time":"2026-08-06T22:10:43.724616012Z","level":"INFO","msg":"processOutgoingData: finished","id":"19(@)"}
|
| 303 |
+
{"time":"2026-08-06T22:10:43.724709021Z","level":"INFO","msg":"connection: closed successfully","id":"19(@)"}
|
| 304 |
+
{"time":"2026-08-06T22:10:43.724714942Z","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"19(@)"}
|
| 305 |
+
{"time":"2026-08-06T22:10:51.347033931Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"20(@)"}
|
| 306 |
+
{"time":"2026-08-06T22:10:51.560725873Z","level":"INFO","msg":"handleInformInit: received","streamId":"mmhv6fed","id":"20(@)"}
|
| 307 |
+
{"time":"2026-08-06T22:10:51.824628616Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"mmhv6fed","id":"20(@)"}
|
| 308 |
+
{"time":"2026-08-06T22:10:57.222474886Z","level":"INFO","msg":"connection: cancelling request","id":"20(@)","requestId":"m8oneq7o9rzj"}
|