初始化项目,由ModelHub XC社区提供模型
Model: Josephgflowers/TinyLlama-Cinder-Tiny-Agent Source: Original Platform
This commit is contained in:
49
.gitattributes
vendored
Normal file
49
.gitattributes
vendored
Normal file
@@ -0,0 +1,49 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
||||
*.tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
*.db* filter=lfs diff=lfs merge=lfs -text
|
||||
*.ark* filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
|
||||
**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.gguf* filter=lfs diff=lfs merge=lfs -text
|
||||
*.ggml filter=lfs diff=lfs merge=lfs -text
|
||||
*.llamafile* filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
53
README.md
Normal file
53
README.md
Normal file
@@ -0,0 +1,53 @@
|
||||
---
|
||||
license: mit
|
||||
base_model: Josephgflowers/TinyLlama-Cinder-Math-Train
|
||||
tags:
|
||||
- generated_from_trainer
|
||||
model-index:
|
||||
- name: TinyLlama-Cinder-Tiny-Agent
|
||||
results: []
|
||||
---
|
||||
|
||||
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
||||
should probably proofread and complete it, then remove this comment. -->
|
||||
|
||||
# TinyLlama-Cinder-Tiny-Agent
|
||||
|
||||
This model is a fine-tuned version of [Josephgflowers/TinyLlama-Cinder-Math-Train](https://huggingface.co/Josephgflowers/TinyLlama-Cinder-Math-Train) on an unknown dataset.
|
||||
|
||||
## Model description
|
||||
|
||||
More information needed
|
||||
|
||||
## Intended uses & limitations
|
||||
|
||||
More information needed
|
||||
|
||||
## Training and evaluation data
|
||||
|
||||
More information needed
|
||||
|
||||
## Training procedure
|
||||
|
||||
### Training hyperparameters
|
||||
|
||||
The following hyperparameters were used during training:
|
||||
- learning_rate: 5e-05
|
||||
- train_batch_size: 12
|
||||
- eval_batch_size: 32
|
||||
- seed: 42
|
||||
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
||||
- lr_scheduler_type: linear
|
||||
- num_epochs: 1.0
|
||||
- mixed_precision_training: Native AMP
|
||||
|
||||
### Training results
|
||||
|
||||
|
||||
|
||||
### Framework versions
|
||||
|
||||
- Transformers 4.41.0.dev0
|
||||
- Pytorch 2.2.2+cu121
|
||||
- Datasets 2.19.1
|
||||
- Tokenizers 0.19.1
|
||||
9
all_results.json
Normal file
9
all_results.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"total_flos": 8.2628573134848e+17,
|
||||
"train_loss": 0.7277259675255335,
|
||||
"train_runtime": 75113.2183,
|
||||
"train_samples": 65000,
|
||||
"train_samples_per_second": 0.865,
|
||||
"train_steps_per_second": 0.072
|
||||
}
|
||||
29
config.json
Normal file
29
config.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"_name_or_path": "Josephgflowers/TinyLlama-Cinder-Math-Train",
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2048,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 5632,
|
||||
"max_position_embeddings": 2048,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 22,
|
||||
"num_key_value_heads": 4,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 10000.0,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float32",
|
||||
"transformers_version": "4.41.0.dev0",
|
||||
"use_cache": false,
|
||||
"vocab_size": 32000
|
||||
}
|
||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
||||
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||
7
generation_config.json
Normal file
7
generation_config.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"max_length": 2048,
|
||||
"pad_token_id": 0,
|
||||
"transformers_version": "4.41.0.dev0"
|
||||
}
|
||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f98e7a5b86f5dc56907ec422b9d7ac96360cbb6b4219cb14c14fb8deff699a8b
|
||||
size 4400216536
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:bf467c9e0f536bda271283c6ef85eb1a943e3196b621c8a912d64953b205df83
|
||||
size 1842795
|
||||
41
tokenizer_config.json
Normal file
41
tokenizer_config.json
Normal file
@@ -0,0 +1,41 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"model_max_length": 2048,
|
||||
"pad_token": "</s>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
9
train_results.json
Normal file
9
train_results.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"total_flos": 8.2628573134848e+17,
|
||||
"train_loss": 0.7277259675255335,
|
||||
"train_runtime": 75113.2183,
|
||||
"train_samples": 65000,
|
||||
"train_samples_per_second": 0.865,
|
||||
"train_steps_per_second": 0.072
|
||||
}
|
||||
420
trainer_state.json
Normal file
420
trainer_state.json
Normal file
@@ -0,0 +1,420 @@
|
||||
{
|
||||
"best_metric": null,
|
||||
"best_model_checkpoint": null,
|
||||
"epoch": 1.0,
|
||||
"eval_steps": 500,
|
||||
"global_step": 5417,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 0.018460402436773122,
|
||||
"grad_norm": 72293.6015625,
|
||||
"learning_rate": 4.907697987816135e-05,
|
||||
"loss": 0.7984,
|
||||
"step": 100
|
||||
},
|
||||
{
|
||||
"epoch": 0.036920804873546244,
|
||||
"grad_norm": 86618.71875,
|
||||
"learning_rate": 4.815395975632269e-05,
|
||||
"loss": 0.7874,
|
||||
"step": 200
|
||||
},
|
||||
{
|
||||
"epoch": 0.05538120731031936,
|
||||
"grad_norm": 82291.1953125,
|
||||
"learning_rate": 4.723093963448403e-05,
|
||||
"loss": 0.7683,
|
||||
"step": 300
|
||||
},
|
||||
{
|
||||
"epoch": 0.07384160974709249,
|
||||
"grad_norm": 72406.7265625,
|
||||
"learning_rate": 4.6307919512645376e-05,
|
||||
"loss": 0.7721,
|
||||
"step": 400
|
||||
},
|
||||
{
|
||||
"epoch": 0.0923020121838656,
|
||||
"grad_norm": 82859.0,
|
||||
"learning_rate": 4.538489939080672e-05,
|
||||
"loss": 0.7672,
|
||||
"step": 500
|
||||
},
|
||||
{
|
||||
"epoch": 0.11076241462063872,
|
||||
"grad_norm": 72674.453125,
|
||||
"learning_rate": 4.4461879268968066e-05,
|
||||
"loss": 0.7741,
|
||||
"step": 600
|
||||
},
|
||||
{
|
||||
"epoch": 0.12922281705741184,
|
||||
"grad_norm": 74598.8828125,
|
||||
"learning_rate": 4.3538859147129405e-05,
|
||||
"loss": 0.7684,
|
||||
"step": 700
|
||||
},
|
||||
{
|
||||
"epoch": 0.14768321949418498,
|
||||
"grad_norm": 75325.09375,
|
||||
"learning_rate": 4.261583902529076e-05,
|
||||
"loss": 0.7706,
|
||||
"step": 800
|
||||
},
|
||||
{
|
||||
"epoch": 0.1661436219309581,
|
||||
"grad_norm": 80050.4921875,
|
||||
"learning_rate": 4.1692818903452095e-05,
|
||||
"loss": 0.771,
|
||||
"step": 900
|
||||
},
|
||||
{
|
||||
"epoch": 0.1846040243677312,
|
||||
"grad_norm": 71205.3359375,
|
||||
"learning_rate": 4.076979878161344e-05,
|
||||
"loss": 0.7458,
|
||||
"step": 1000
|
||||
},
|
||||
{
|
||||
"epoch": 0.20306442680450434,
|
||||
"grad_norm": 71098.4765625,
|
||||
"learning_rate": 3.9846778659774785e-05,
|
||||
"loss": 0.7632,
|
||||
"step": 1100
|
||||
},
|
||||
{
|
||||
"epoch": 0.22152482924127745,
|
||||
"grad_norm": 79350.5859375,
|
||||
"learning_rate": 3.892375853793613e-05,
|
||||
"loss": 0.7715,
|
||||
"step": 1200
|
||||
},
|
||||
{
|
||||
"epoch": 0.23998523167805058,
|
||||
"grad_norm": 78053.2578125,
|
||||
"learning_rate": 3.800073841609747e-05,
|
||||
"loss": 0.7582,
|
||||
"step": 1300
|
||||
},
|
||||
{
|
||||
"epoch": 0.2584456341148237,
|
||||
"grad_norm": 72609.0078125,
|
||||
"learning_rate": 3.707771829425882e-05,
|
||||
"loss": 0.7547,
|
||||
"step": 1400
|
||||
},
|
||||
{
|
||||
"epoch": 0.27690603655159685,
|
||||
"grad_norm": 75624.9453125,
|
||||
"learning_rate": 3.615469817242016e-05,
|
||||
"loss": 0.7432,
|
||||
"step": 1500
|
||||
},
|
||||
{
|
||||
"epoch": 0.29536643898836995,
|
||||
"grad_norm": 67118.828125,
|
||||
"learning_rate": 3.5231678050581504e-05,
|
||||
"loss": 0.7522,
|
||||
"step": 1600
|
||||
},
|
||||
{
|
||||
"epoch": 0.31382684142514305,
|
||||
"grad_norm": 77685.6171875,
|
||||
"learning_rate": 3.430865792874285e-05,
|
||||
"loss": 0.7529,
|
||||
"step": 1700
|
||||
},
|
||||
{
|
||||
"epoch": 0.3322872438619162,
|
||||
"grad_norm": 80151.4609375,
|
||||
"learning_rate": 3.338563780690419e-05,
|
||||
"loss": 0.7558,
|
||||
"step": 1800
|
||||
},
|
||||
{
|
||||
"epoch": 0.3507476462986893,
|
||||
"grad_norm": 68374.609375,
|
||||
"learning_rate": 3.246261768506554e-05,
|
||||
"loss": 0.7547,
|
||||
"step": 1900
|
||||
},
|
||||
{
|
||||
"epoch": 0.3692080487354624,
|
||||
"grad_norm": 69225.65625,
|
||||
"learning_rate": 3.153959756322688e-05,
|
||||
"loss": 0.7283,
|
||||
"step": 2000
|
||||
},
|
||||
{
|
||||
"epoch": 0.38766845117223553,
|
||||
"grad_norm": 93264.3984375,
|
||||
"learning_rate": 3.061657744138822e-05,
|
||||
"loss": 0.7368,
|
||||
"step": 2100
|
||||
},
|
||||
{
|
||||
"epoch": 0.4061288536090087,
|
||||
"grad_norm": 81487.3125,
|
||||
"learning_rate": 2.9693557319549568e-05,
|
||||
"loss": 0.7531,
|
||||
"step": 2200
|
||||
},
|
||||
{
|
||||
"epoch": 0.4245892560457818,
|
||||
"grad_norm": 72823.8125,
|
||||
"learning_rate": 2.8770537197710913e-05,
|
||||
"loss": 0.7216,
|
||||
"step": 2300
|
||||
},
|
||||
{
|
||||
"epoch": 0.4430496584825549,
|
||||
"grad_norm": 73118.8203125,
|
||||
"learning_rate": 2.7847517075872255e-05,
|
||||
"loss": 0.7356,
|
||||
"step": 2400
|
||||
},
|
||||
{
|
||||
"epoch": 0.46151006091932806,
|
||||
"grad_norm": 68678.484375,
|
||||
"learning_rate": 2.69244969540336e-05,
|
||||
"loss": 0.7308,
|
||||
"step": 2500
|
||||
},
|
||||
{
|
||||
"epoch": 0.47997046335610116,
|
||||
"grad_norm": 73918.640625,
|
||||
"learning_rate": 2.6001476832194942e-05,
|
||||
"loss": 0.7235,
|
||||
"step": 2600
|
||||
},
|
||||
{
|
||||
"epoch": 0.49843086579287427,
|
||||
"grad_norm": 66172.796875,
|
||||
"learning_rate": 2.5078456710356284e-05,
|
||||
"loss": 0.7283,
|
||||
"step": 2700
|
||||
},
|
||||
{
|
||||
"epoch": 0.5168912682296474,
|
||||
"grad_norm": 66544.1015625,
|
||||
"learning_rate": 2.415543658851763e-05,
|
||||
"loss": 0.7228,
|
||||
"step": 2800
|
||||
},
|
||||
{
|
||||
"epoch": 0.5353516706664205,
|
||||
"grad_norm": 66939.625,
|
||||
"learning_rate": 2.3232416466678974e-05,
|
||||
"loss": 0.7095,
|
||||
"step": 2900
|
||||
},
|
||||
{
|
||||
"epoch": 0.5538120731031937,
|
||||
"grad_norm": 67865.15625,
|
||||
"learning_rate": 2.230939634484032e-05,
|
||||
"loss": 0.7248,
|
||||
"step": 3000
|
||||
},
|
||||
{
|
||||
"epoch": 0.5722724755399667,
|
||||
"grad_norm": 63117.76953125,
|
||||
"learning_rate": 2.138637622300166e-05,
|
||||
"loss": 0.7147,
|
||||
"step": 3100
|
||||
},
|
||||
{
|
||||
"epoch": 0.5907328779767399,
|
||||
"grad_norm": 59398.1796875,
|
||||
"learning_rate": 2.0463356101163006e-05,
|
||||
"loss": 0.7031,
|
||||
"step": 3200
|
||||
},
|
||||
{
|
||||
"epoch": 0.6091932804135131,
|
||||
"grad_norm": 63816.08203125,
|
||||
"learning_rate": 1.954033597932435e-05,
|
||||
"loss": 0.7144,
|
||||
"step": 3300
|
||||
},
|
||||
{
|
||||
"epoch": 0.6276536828502861,
|
||||
"grad_norm": 70370.5625,
|
||||
"learning_rate": 1.8617315857485696e-05,
|
||||
"loss": 0.7141,
|
||||
"step": 3400
|
||||
},
|
||||
{
|
||||
"epoch": 0.6461140852870593,
|
||||
"grad_norm": 63610.734375,
|
||||
"learning_rate": 1.7694295735647038e-05,
|
||||
"loss": 0.694,
|
||||
"step": 3500
|
||||
},
|
||||
{
|
||||
"epoch": 0.6645744877238324,
|
||||
"grad_norm": 59664.05078125,
|
||||
"learning_rate": 1.6771275613808383e-05,
|
||||
"loss": 0.7086,
|
||||
"step": 3600
|
||||
},
|
||||
{
|
||||
"epoch": 0.6830348901606055,
|
||||
"grad_norm": 64207.88671875,
|
||||
"learning_rate": 1.5848255491969728e-05,
|
||||
"loss": 0.7138,
|
||||
"step": 3700
|
||||
},
|
||||
{
|
||||
"epoch": 0.7014952925973786,
|
||||
"grad_norm": 79748.2734375,
|
||||
"learning_rate": 1.4925235370131068e-05,
|
||||
"loss": 0.6985,
|
||||
"step": 3800
|
||||
},
|
||||
{
|
||||
"epoch": 0.7199556950341518,
|
||||
"grad_norm": 72216.671875,
|
||||
"learning_rate": 1.4002215248292413e-05,
|
||||
"loss": 0.7019,
|
||||
"step": 3900
|
||||
},
|
||||
{
|
||||
"epoch": 0.7384160974709248,
|
||||
"grad_norm": 74815.6328125,
|
||||
"learning_rate": 1.3079195126453758e-05,
|
||||
"loss": 0.687,
|
||||
"step": 4000
|
||||
},
|
||||
{
|
||||
"epoch": 0.756876499907698,
|
||||
"grad_norm": 61482.41796875,
|
||||
"learning_rate": 1.2156175004615102e-05,
|
||||
"loss": 0.6983,
|
||||
"step": 4100
|
||||
},
|
||||
{
|
||||
"epoch": 0.7753369023444711,
|
||||
"grad_norm": 73800.75,
|
||||
"learning_rate": 1.1233154882776445e-05,
|
||||
"loss": 0.7004,
|
||||
"step": 4200
|
||||
},
|
||||
{
|
||||
"epoch": 0.7937973047812442,
|
||||
"grad_norm": 75985.421875,
|
||||
"learning_rate": 1.0310134760937789e-05,
|
||||
"loss": 0.7097,
|
||||
"step": 4300
|
||||
},
|
||||
{
|
||||
"epoch": 0.8122577072180174,
|
||||
"grad_norm": 67175.03125,
|
||||
"learning_rate": 9.387114639099132e-06,
|
||||
"loss": 0.6781,
|
||||
"step": 4400
|
||||
},
|
||||
{
|
||||
"epoch": 0.8307181096547904,
|
||||
"grad_norm": 68520.875,
|
||||
"learning_rate": 8.464094517260476e-06,
|
||||
"loss": 0.6857,
|
||||
"step": 4500
|
||||
},
|
||||
{
|
||||
"epoch": 0.8491785120915636,
|
||||
"grad_norm": 65612.703125,
|
||||
"learning_rate": 7.541074395421821e-06,
|
||||
"loss": 0.6971,
|
||||
"step": 4600
|
||||
},
|
||||
{
|
||||
"epoch": 0.8676389145283367,
|
||||
"grad_norm": 63280.83203125,
|
||||
"learning_rate": 6.618054273583164e-06,
|
||||
"loss": 0.6942,
|
||||
"step": 4700
|
||||
},
|
||||
{
|
||||
"epoch": 0.8860993169651098,
|
||||
"grad_norm": 68478.2890625,
|
||||
"learning_rate": 5.6950341517445085e-06,
|
||||
"loss": 0.7028,
|
||||
"step": 4800
|
||||
},
|
||||
{
|
||||
"epoch": 0.904559719401883,
|
||||
"grad_norm": 68026.8125,
|
||||
"learning_rate": 4.772014029905853e-06,
|
||||
"loss": 0.6694,
|
||||
"step": 4900
|
||||
},
|
||||
{
|
||||
"epoch": 0.9230201218386561,
|
||||
"grad_norm": 64797.25390625,
|
||||
"learning_rate": 3.848993908067195e-06,
|
||||
"loss": 0.704,
|
||||
"step": 5000
|
||||
},
|
||||
{
|
||||
"epoch": 0.9414805242754292,
|
||||
"grad_norm": 71872.890625,
|
||||
"learning_rate": 2.9259737862285397e-06,
|
||||
"loss": 0.6946,
|
||||
"step": 5100
|
||||
},
|
||||
{
|
||||
"epoch": 0.9599409267122023,
|
||||
"grad_norm": 74217.3125,
|
||||
"learning_rate": 2.002953664389884e-06,
|
||||
"loss": 0.6796,
|
||||
"step": 5200
|
||||
},
|
||||
{
|
||||
"epoch": 0.9784013291489755,
|
||||
"grad_norm": 68286.15625,
|
||||
"learning_rate": 1.0799335425512278e-06,
|
||||
"loss": 0.6966,
|
||||
"step": 5300
|
||||
},
|
||||
{
|
||||
"epoch": 0.9968617315857485,
|
||||
"grad_norm": 137991.28125,
|
||||
"learning_rate": 1.5691342071257153e-07,
|
||||
"loss": 0.7014,
|
||||
"step": 5400
|
||||
},
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"step": 5417,
|
||||
"total_flos": 8.2628573134848e+17,
|
||||
"train_loss": 0.7277259675255335,
|
||||
"train_runtime": 75113.2183,
|
||||
"train_samples_per_second": 0.865,
|
||||
"train_steps_per_second": 0.072
|
||||
}
|
||||
],
|
||||
"logging_steps": 100,
|
||||
"max_steps": 5417,
|
||||
"num_input_tokens_seen": 0,
|
||||
"num_train_epochs": 1,
|
||||
"save_steps": 5417,
|
||||
"stateful_callbacks": {
|
||||
"TrainerControl": {
|
||||
"args": {
|
||||
"should_epoch_stop": false,
|
||||
"should_evaluate": false,
|
||||
"should_log": false,
|
||||
"should_save": true,
|
||||
"should_training_stop": true
|
||||
},
|
||||
"attributes": {}
|
||||
}
|
||||
},
|
||||
"total_flos": 8.2628573134848e+17,
|
||||
"train_batch_size": 12,
|
||||
"trial_name": null,
|
||||
"trial_params": null
|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:034a720a60e13bfe2028b711a3cf3e3c12bc7154c84082f409e426f7d9db5944
|
||||
size 5112
|
||||
Reference in New Issue
Block a user