Training in progress, step 732

README.md

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+---
+library_name: transformers
+base_model: Dans-DiscountModels/mistral-7b-v0.3-ChatML
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- Dans-DiscountModels/pretokenization-test-2
+model-index:
+- name: 7b-m-dans-personalityengine-v1.2.1-rc-4
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.8.0`
+```yaml
+base_model: Dans-DiscountModels/mistral-7b-v0.3-ChatML
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+trust_remote_code:
+
+# wandb configuration
+wandb_project: 7b-m-dans-personalityengine
+wandb_watch:
+
+wandb_run_id: V1.2.1-3-1 # V{Version}-{Run Number}-{Attempt Number}
+wandb_log_model:
+
+# push checkpoints to hub
+hub_model_id: Dans-DiscountModels/7b-m-dans-personalityengine-v1.2.1-rc-4
+# how to push checkpoints to hub
+# https://huggingface.co/docs/transformers/v4.31.0/en/main_classes/trainer#transformers.TrainingArguments.hub_strategy
+hub_strategy: "every_save"
+# Whether to use hf `use_auth_token` for loading datasets. Useful for fetching private datasets
+# Required to be true when used in combination with `push_dataset_to_hub`
+hf_use_auth_token: true
+
+# where to save the finished model to
+output_dir: ./7b-m-dans-personalityengine
+
+# where to save the dataset to
+dataset_prepared_path: ./7b-m-dans-personalityengine-data
+
+save_safetensors: true
+
+# dataset settings (local or huggingface repo)
+datasets:
+  - path: Dans-DiscountModels/pretokenization-test-2
+    ds_type: parquet
+    type:
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_layer_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: false
+cut_cross_entropy: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+val_set_size: 0.005
+sequence_len: 32768
+
+sample_packing: true
+eval_sample_packing: true
+
+pad_to_sequence_len: true
+
+gradient_checkpointing: true
+# gradient_checkpointing_kwargs:
+# use_reentrant: false
+
+gradient_accumulation_steps: 2
+micro_batch_size: 2
+
+num_epochs: 1
+
+optimizer: ademamix_8bit
+optim_args: "beta1=0.9,beta2=0.999,beta3=0.999,alpha=5"
+
+lr_scheduler: rex
+learning_rate: 0.00000015
+cosine_min_lr_ratio: 0.1
+
+# weight_decay: 0.03
+max_grad_norm: 0.001
+
+train_on_inputs: false
+group_by_length: false
+
+bf16: true
+fp16: false
+tf32: false
+
+early_stopping_patience:
+
+resume_from_checkpoint:
+auto_resume_from_checkpoints: false
+
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.03
+
+evals_per_epoch: 24
+eval_table_size:
+eval_max_new_tokens:
+
+saves_per_epoch: 2
+save_total_limit: 1
+
+debug: false
+
+deepspeed: deepspeed_configs/zero3_bf16.json
+
+fsdp:
+fsdp_config:
+
+special_tokens:
+
+```
+
+</details><br>
+
+# 7b-m-dans-personalityengine-v1.2.1-rc-4
+
+This model is a fine-tuned version of [Dans-DiscountModels/mistral-7b-v0.3-ChatML](https://huggingface.co/Dans-DiscountModels/mistral-7b-v0.3-ChatML) on the Dans-DiscountModels/pretokenization-test-2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4136
+
+## 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: 1.5e-07
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 16
+- optimizer: Use ademamix_8bit and the args are:
+beta1=0.9,beta2=0.999,beta3=0.999,alpha=5
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 43
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.5957        | 0.0007 | 1    | 1.5418          |
+| 1.4896        | 0.0417 | 61   | 1.5008          |
+| 1.5882        | 0.0833 | 122  | 1.4755          |
+| 1.3739        | 0.125  | 183  | 1.4632          |
+| 1.5317        | 0.1667 | 244  | 1.4558          |
+| 1.4852        | 0.2083 | 305  | 1.4504          |
+| 1.3851        | 0.25   | 366  | 1.4460          |
+| 1.514         | 0.2917 | 427  | 1.4423          |
+| 1.5015        | 0.3333 | 488  | 1.4390          |
+| 1.5083        | 0.375  | 549  | 1.4361          |
+| 1.3896        | 0.4167 | 610  | 1.4336          |
+| 1.4243        | 0.4583 | 671  | 1.4313          |
+| 1.3101        | 0.5    | 732  | 1.4291          |
+| 1.5724        | 0.5417 | 793  | 1.4271          |
+| 1.4305        | 0.5833 | 854  | 1.4253          |
+| 1.4534        | 0.625  | 915  | 1.4235          |
+| 1.4756        | 0.6667 | 976  | 1.4219          |
+| 1.4429        | 0.7083 | 1037 | 1.4205          |
+| 1.4753        | 0.75   | 1098 | 1.4191          |
+| 1.473         | 0.7917 | 1159 | 1.4179          |
+| 1.4314        | 0.8333 | 1220 | 1.4167          |
+| 1.3473        | 0.875  | 1281 | 1.4157          |
+| 1.4458        | 0.9167 | 1342 | 1.4148          |
+| 1.4309        | 0.9583 | 1403 | 1.4140          |
+| 1.4304        | 1.0    | 1464 | 1.4136          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 770,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.3",
+  "unsloth_version": "2024.9",
+  "use_cache": false,
+  "vocab_size": 32768
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 32768,
+  "pad_token_id": 770,
+  "transformers_version": "4.51.3"
+}

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