End of training

README.md

@@ -0,0 +1,67 @@
+---
+base_model: kevin1010607/llama2-7b-mod
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: llama2-7b-mod-sft-full-2
+  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/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/kevin-1010607/huggingface/runs/43dpss8q)
+# llama2-7b-mod-sft-full-2
+
+This model is a fine-tuned version of [kevin1010607/llama2-7b-mod](https://huggingface.co/kevin1010607/llama2-7b-mod) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1683
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1993        | 0.9997 | 2536 | 1.1683          |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.0a0+ebedce2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.9996550874599656,
+    "total_flos": 661690545340416.0,
+    "train_loss": 1.391600751820423,
+    "train_runtime": 151844.1268,
+    "train_samples": 268998,
+    "train_samples_per_second": 1.069,
+    "train_steps_per_second": 0.017
+}

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "kevin1010607/llama2-7b-mod",
+  "architectures": [
+    "LlamaMoDForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "use_cache": false,
+  "vocab_size": 32000
+}

runs/Jul16_04-48-23_hdwfn5ctr1721018477013-4w799/events.out.tfevents.1721077675.hdwfn5ctr1721018477013-4w799.3478.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:feddbee90d02aea1d0dd0c42b252ec5ed24ed2dc1a2a465e8e204c7e5bdb78d7
+size 540236