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Browse files- README.md +73 -0
- all_results.json +13 -0
- config.json +28 -0
- eval_results.json +8 -0
- generation_config.json +6 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2065 -0
- train_results.json +8 -0
- trainer_log.jsonl +0 -0
- trainer_state.json +2734 -0
- training_args.bin +3 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
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---
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license: other
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base_model: meta-llama/Meta-Llama-3-8B
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: C021_random_sample_llama3-8b-base_pretrain_20240505_135320
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# C021_random_sample_llama3-8b-base_pretrain_20240505_135320
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This model is a fine-tuned version of [/data/pro-align/progressalign/shared_storage/downloaded_models/llama3-8b-base](https://huggingface.co//data/pro-align/progressalign/shared_storage/downloaded_models/llama3-8b-base) on the C021_random_sample_data dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2184
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1.5e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: polynomial
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- lr_scheduler_warmup_steps: 20
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- num_epochs: 4.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.2572 | 0.4264 | 200 | 1.2612 |
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| 1.1754 | 0.8529 | 400 | 1.2226 |
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| 1.1662 | 1.2793 | 600 | 1.2202 |
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| 1.1182 | 1.7058 | 800 | 1.2184 |
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| 1.046 | 2.1322 | 1000 | 1.2190 |
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| 1.0772 | 2.5586 | 1200 | 1.2190 |
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| 1.0326 | 2.9851 | 1400 | 1.2188 |
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| 1.013 | 3.4115 | 1600 | 1.2191 |
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| 1.1103 | 3.8380 | 1800 | 1.2188 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.3.0
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 4.0,
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"eval_loss": 1.2184005975723267,
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"eval_runtime": 87.9641,
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"eval_samples_per_second": 18.951,
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"eval_steps_per_second": 0.307,
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"perplexity": 3.3817745873907485,
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"total_flos": 391958715432960.0,
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"train_loss": 1.1227505109203395,
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"train_runtime": 12501.281,
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"train_samples_per_second": 4.798,
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"train_steps_per_second": 0.15
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}
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config.json
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"_name_or_path": "/data/pro-align/progressalign/shared_storage/downloaded_models/llama3-8b-base",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_dropout": 0.0,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.40.1",
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"use_cache": false,
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"vocab_size": 128256
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}
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eval_results.json
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}
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generation_config.json
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special_tokens_map.json
ADDED
@@ -0,0 +1,17 @@
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tokenizer.json
ADDED
The diff for this file is too large to render.
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tokenizer_config.json
ADDED
@@ -0,0 +1,2065 @@
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"128000": {
|
4 |
+
"content": "<|begin_of_text|>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"128001": {
|
12 |
+
"content": "<|end_of_text|>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"128002": {
|
20 |
+
"content": "<|reserved_special_token_0|>",
|
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}
|
2051 |
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|
2052 |
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|
2053 |
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"chat_template": "{% set system_message = 'Below is an instruction that describes a task. Write a response that appropriately completes the request.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '### Instruction:\\n' + content + '\\n\\n### Response:\\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|end_of_text|>' + '\\n\\n' }}{% endif %}{% endfor %}",
|
2054 |
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"clean_up_tokenization_spaces": true,
|
2055 |
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"eos_token": "<|end_of_text|>",
|
2056 |
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|
2057 |
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"input_ids",
|
2058 |
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|
2059 |
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],
|
2060 |
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|
2063 |
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"split_special_tokens": false,
|
2064 |
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"tokenizer_class": "PreTrainedTokenizerFast"
|
2065 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"total_flos": 391958715432960.0,
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4 |
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"train_loss": 1.1227505109203395,
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5 |
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"train_runtime": 12501.281,
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6 |
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"train_samples_per_second": 4.798,
|
7 |
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"train_steps_per_second": 0.15
|
8 |
+
}
|
trainer_log.jsonl
ADDED
The diff for this file is too large to render.
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|
trainer_state.json
ADDED
@@ -0,0 +1,2734 @@
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