Upload folder using huggingface_hub
Browse files- README.md +65 -3
- all_results.json +14 -0
- config.json +36 -0
- eval_results.json +8 -0
- generation_config.json +9 -0
- model.safetensors +3 -0
- runs/Oct10_13-03-19_node090/events.out.tfevents.1728565974.node090.645.0 +3 -0
- runs/Oct10_13-03-19_node090/events.out.tfevents.1728567108.node090.645.1 +3 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2063 -0
- train_results.json +9 -0
- trainer_state.json +1387 -0
- training.log +0 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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base_model: meta-llama/Llama-3.2-1B
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tags:
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrachat_200k
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model-index:
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- name: Llama-3.2-1B-sft-full
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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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# Llama-3.2-1B-sft-full
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This model is a fine-tuned version of [/workspace/jihaozhe/models/Llama-3.2-1B](https://huggingface.co//workspace/jihaozhe/models/Llama-3.2-1B) on the HuggingFaceH4/ultrachat_200k dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2660
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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: 2e-05
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- train_batch_size: 16
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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: 128
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.2488 | 1.0 | 951 | 1.2660 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 1.0,
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"eval_loss": 1.266036868095398,
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"eval_runtime": 32.4102,
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| 5 |
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"eval_samples": 23110,
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| 6 |
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"eval_samples_per_second": 415.24,
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"eval_steps_per_second": 6.51,
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"total_flos": 101091718987776.0,
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"train_loss": 1.289618753484371,
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| 10 |
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"train_runtime": 1098.6048,
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"train_samples": 207865,
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"train_samples_per_second": 110.718,
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"train_steps_per_second": 0.866
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}
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config.json
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{
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"_name_or_path": "/workspace/jihaozhe/models/Llama-3.2-1B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 16,
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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": {
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"factor": 32.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"use_cache": true,
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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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"epoch": 1.0,
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"eval_loss": 1.266036868095398,
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"eval_runtime": 32.4102,
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| 5 |
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"eval_samples": 23110,
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"eval_samples_per_second": 415.24,
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"eval_steps_per_second": 6.51
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": 128001,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.44.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f5afbac3b4943fa0be90fe222198b8f203ce0a5efad8211831167dee99db1e4
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size 2471645608
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runs/Oct10_13-03-19_node090/events.out.tfevents.1728565974.node090.645.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a459c02589738e5aee3f792f5535a3ea1d0c583d932532411feedd9bfea6c9f
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size 46658
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runs/Oct10_13-03-19_node090/events.out.tfevents.1728567108.node090.645.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d9e45a4f2acd92ba9c63692901ccd34f1761d655ebc58470749ded15c0423dd
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size 359
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|begin_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|end_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|end_of_text|>"
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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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|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
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| 1849 |
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| 1850 |
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|
| 1866 |
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| 1867 |
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|
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| 1882 |
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|
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| 1939 |
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| 1940 |
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| 1947 |
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|
| 1948 |
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|
| 1953 |
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| 1954 |
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| 1956 |
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|
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|
| 1962 |
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| 1963 |
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| 1964 |
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| 1965 |
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|
| 1969 |
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|
| 1970 |
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| 1971 |
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|
| 1972 |
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| 1973 |
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|
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|
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|
| 1977 |
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|
| 1978 |
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| 1979 |
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|
| 1980 |
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|
| 1981 |
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|
| 1982 |
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|
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|
| 1984 |
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|
| 1985 |
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|
| 1986 |
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|
| 1987 |
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|
| 1988 |
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|
| 1989 |
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|
| 1990 |
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|
| 1991 |
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|
| 1992 |
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|
| 1993 |
+
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|
| 1994 |
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},
|
| 1995 |
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|
| 1996 |
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|
| 1997 |
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|
| 1998 |
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|
| 1999 |
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|
| 2000 |
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|
| 2001 |
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|
| 2002 |
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},
|
| 2003 |
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"128250": {
|
| 2004 |
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|
| 2005 |
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|
| 2006 |
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|
| 2007 |
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|
| 2008 |
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|
| 2009 |
+
"special": true
|
| 2010 |
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},
|
| 2011 |
+
"128251": {
|
| 2012 |
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"content": "<|reserved_special_token_243|>",
|
| 2013 |
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|
| 2014 |
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|
| 2015 |
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|
| 2016 |
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|
| 2017 |
+
"special": true
|
| 2018 |
+
},
|
| 2019 |
+
"128252": {
|
| 2020 |
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"content": "<|reserved_special_token_244|>",
|
| 2021 |
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|
| 2022 |
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|
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|
| 2024 |
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|
| 2025 |
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|
| 2026 |
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},
|
| 2027 |
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"128253": {
|
| 2028 |
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"content": "<|reserved_special_token_245|>",
|
| 2029 |
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|
| 2030 |
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|
| 2031 |
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|
| 2032 |
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|
| 2033 |
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|
| 2034 |
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},
|
| 2035 |
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"128254": {
|
| 2036 |
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"content": "<|reserved_special_token_246|>",
|
| 2037 |
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|
| 2038 |
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|
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|
| 2040 |
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|
| 2041 |
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|
| 2042 |
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},
|
| 2043 |
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"128255": {
|
| 2044 |
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| 2045 |
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|
| 2047 |
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|
| 2048 |
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|
| 2049 |
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"special": true
|
| 2050 |
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}
|
| 2051 |
+
},
|
| 2052 |
+
"bos_token": "<|begin_of_text|>",
|
| 2053 |
+
"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 %}",
|
| 2054 |
+
"clean_up_tokenization_spaces": true,
|
| 2055 |
+
"eos_token": "<|end_of_text|>",
|
| 2056 |
+
"model_input_names": [
|
| 2057 |
+
"input_ids",
|
| 2058 |
+
"attention_mask"
|
| 2059 |
+
],
|
| 2060 |
+
"model_max_length": 2048,
|
| 2061 |
+
"pad_token": "<|end_of_text|>",
|
| 2062 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2063 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"total_flos": 101091718987776.0,
|
| 4 |
+
"train_loss": 1.289618753484371,
|
| 5 |
+
"train_runtime": 1098.6048,
|
| 6 |
+
"train_samples": 207865,
|
| 7 |
+
"train_samples_per_second": 110.718,
|
| 8 |
+
"train_steps_per_second": 0.866
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1387 @@
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